Speakers

Amir Amini, PhD

Endowed Chair in Bioimaging, Fellow of the IEEE, AIMBE, and of SPIE, University of Louisville

Amir Amini is Endowed Chair in Bioimaging and Professor of Electrical and Computer Engineering at the University of Louisville. His prior faculty appointments were at Yale and Washington University in St. Louis. He has had leadership roles in organization of numerous conferences in medical imaging and image analysis as scientific program committee member, scientific program chair, as well as conference chair, and was symposium co-chair of SPIE Medical Imaging in 2007 and the IEEE International Symposium in Biomedical Imaging in 2018. He currently serves as Associate Editor for IEEE Transactions on Medical Imaging, IEEE Trans. On Biomedical Engineering, IEEE Reviews in Biomedical Engineering, and Computerized Medical Imaging and Graphics. He served as Vice President for Publications for the IEEE Engineering in Medicine and Biology Society in 2020-21. Under funding from the NIH, private foundations, and industry, his laboratory conducts research in development and application of MRI methods for motion and flow measurement and development of biomedical image processing and analysis methods based on Deep Learning to cardiovascular imaging, computer aided diagnosis, and radiation therapy of lung cancer. He received the UMASS/Amherst College of Engineering Distinguished Alumni Award in 2020. He was elected a Fellow of the IEEE in 2007, to the College of Fellows of the American Institute for Medical and Biological Engineering in 2017, and to Fellow for SPIE, the International Society of Optics and Photonics, in 2018.

Dr. Lohendran Baskaran

Director, CVS.AI Research Lab, National Heart Research Institute Singapore (NHRIS)
Cardiologist, Senior Consultant and Researcher in AI & Cardiac Imaging, National Heart Centre Singapore
Clinical Assistant Professor, Duke-NUS Medical School

Clinical Assistant Professor Lohendran Baskaran is a Senior Consultant with the Department of Cardiology at the National Heart Centre Singapore (NHCS), and a Clinical Assistant Professor at Duke-NUS Medical School. His subspecialty interest is cardiac computed tomography (CT) and Nuclear Cardiology. He is deeply interested in artificial intelligence (AI) and research. He is an advocate of cardiac wellness, risk prediction and preventative cardiology.

As a clinician scientist, Dr Baskaran is an investigator in over 10 CT and AI trials at institutional, national and international levels, with grants totalling over $12M. He is the founding director of both the CVS.AI and the Cardiac CT Research cores. He has over 30 publications in risk prediction, CT and AI, and is the editor of the textbook “Machine Learning in Cardiovascular Medicine” (Elsevier, 2021).  He has contributed to international research and consensus guideline documents. At the cluster level, he is a member of the SingHealth AI Executive Committee.

Dr Baskaran graduated with an MBBS from University College, London with an additional BSc (1st Class Honours) in Medical Physics. He obtained his initial medical training and MRCP in London. He was an Assistant Professor in non-invasive imaging, risk prediction and AI at Weill Cornell Medicine, New York (2018-2020). He is the chair of the Fundraising Steering Committee, having helped raise over $2M actively for research and needy patients.

Arsen Batagov

Chief Technology Officer (CTO), Mesh Bio Pte. Ltd.

Arsen Batagov is the Chief Technology Officer (CTO) and a co-founder of Mesh Bio, a prominent healthcare data analytics company headquatered in Singapore. During his past work in academia (A*STAR, Singapore; University College London, UK; Centre of Heart, Blood and Endocrinology, Russia), he produced highly cited work bioinformatics and genetics. As a software engineer, he developed automated diagnostic data processing pipelines for Asia’s largest laboratories.
At Mesh Bio, Arsen leads a team of researchers and software engineers who are dedicated to scientific work, as well as developing a new generation of algorithms and software tools for healthcare. This work encompasses a range of scientific disciplines, including systems biology, applied mathematics, statistics, and clinical research. The engineering aspect of this work involves developing efficient algorithms and artificial intelligence systems for automatic data processing.

Rosa Chan, PhD

Associate Professor, Department of Electrical Engineering, City University of Hong Kong (CityU)

Dr. Rosa H. M. Chan is currently an Associate Professor in the Department of Electronic Engineering at City University of Hong Kong. She received her B.Eng (1st Hon.) degree in Automation and Computer-Aided Engineering from the Chinese University of Hong Kong in 2003. Her undergraduate studies had brought her to New York University (US) to study computer animation and visual effects and Kyushu University (Japan) to research on microfluidics for astronautics applications. She was later awarded the Croucher Scholarship and Sir Edward Youde Memorial Fellowship for Overseas Studies in 2004 to pursue her graduate studies at University of Southern California (USC). In the summer of 2010, she was supported by Google Scholarship to participate in the Singularity University Graduate Studies Program at NASA AMES. Dr. Chan received her Ph.D. degree in Biomedical Engineering in 2011 at USC, where she also received her M.S. degrees in Electrical Engineering and Aerospace Engineering. Her research interests include computational neuroscience, neural prosthesis and brain-computer interface applications. She was the co-recipient of the Outstanding Paper Award of IEEE Transactions on Neural Systems and Rehabilitation Engineering in 2013, for their research breakthroughs in mathematical modelling for hippocampal cognitive prosthesis and memory facilitation. Dr. Chan was the Chair of the Hong Kong-Macau Joint Chapter of IEEE Engineering in Medicine and Biology Society (EMBS) in 2014 and is elected to the IEEE EMBS AdCom as Asia Pacific Representative (2018-2020).

Prof. Wei Chen, PhD

Professor of Fudan University in China, Director of Center of Intelligent Medical Electronics at School of Information Science and Technology, and Director of the Physiological Signal and Sleep platform in the Human Phenome Institute

Prof. Wei Chen is Professor of Fudan University in China, Director of Center of Intelligent Medical Electronics at School of Information Science and Technology, and Director of the Physiological Signal and Sleep platform in the Human Phenome Institute, and Managing Editor of IEEE Reviews in Biomedical Engineering (2020-2022), Associate Editor of IEEE Journal on Biomedical Health Informatics and IEEE Transactions on Neural Systems and Rehabilitation Engineering. She has published 2 books, 200+ scientific papers, holds 20+ granted patents, and successfully led 10+ important R&D projects. Her research focuses on data science and unobtrusive sensor systems for healthcare.

Dr. Frank Eisenhaber

A*STAR Senior Fellow Senior Principal Investigator 2007-2020 Executive Director of the Bioinformatics Institute (BII)

Frank Eisenhaber studied mathematics at the Humboldt-University in Berlin and biophysics and medicine at the Pirogov Medical University in Moscow. He received the PhD in molecular biology from the Engelhardt Institute of Molecular Biology in Moscow 1988. After postdoctoral work at the Institute of Molecular Biology in Berlin-Buch and at the EMBL in Heidelberg, he worked as bioinformatics teamleader and head of the general IT department at the Institute of Molecular Pathology (IMP) in Vienna (1999-2007). He joined the Bioinformatics Institute A*STAR Singapore in August 2007 and was its Executive Director from 2007 to 2020. At present, he is an A*STAR Senior Fellow and Senior Principal Investigator for the Genome Institute of Singapore (GIS) and the Bioinformatics Institute (BII). He is also an Adjunct Professor for the School of Biological Sciences (SBS) of the Nanyang Technological University in Singapore. Frank Eisenhaber’s research interest is focused on the discovery of new biomolecular mechanisms from biological and medical data and the functional characterization of yet uncharacterized genes and pathways. As mechanistic insight is the driver for biotechnology, biomedical and clinical applications, this work has catalyzed various lines of applied research. Frank Eisenhaber is one of the scientists credited with the discovery of the SET domain methyltransferases, ATGL, kleisins, many new protein domain functions (for example in the GPI lipid anchor biosynthsis pathway), with the development of accurate prediction tools for posttranslational modifications and subcellular localizations and with algorithms for omics data analysis.

Birgit Eisenhaber, PhD

Senior Principal Investigator, Genome Institute of Singapore (GIS)

Birgit Eisenhaber’s research interest is focused on the discovery of molecular functions of previously uncharacterized protein coding genes. She is interested in proteins’ posttranslational modifications with a special focus on lipid anchor modifications. Birgit Eisenhaber studied biocybernetics and medicine at the Pirogov Medical University in Moscow. After working as a professional software developer, she restarted her scientific career at the EMBL Heidelberg. She obtained her Ph.D. from Humboldt University Berlin. Subsequently, she worked as a postdoctoral research fellow at the Institute of Molecular Pathology (IMP) Vienna and at the Experimental Therapeutics Centre (ETC) Singapore. Since December 2010, Birgit Eisenhaber works at the Bioinformatics Institute (BII) and, since 2021, concomitantly at the Genome Institute of Singapore (GIS). She is a Senior Principal Investigator. Birgit is part of the Gene Function Prediction group that is focused on the prediction of molecular and cellular functions of genes and proteins based on the theoretical analysis of biomolecular sequences, expression profiles and other omics high-throughput data. This work had wide impact in genomics, cell biology and even in rare disease research. She is especially well-known due to her prediction tools for protein post-translational modifications as well as her gene function discoveries related to the GPI lipid anchor pathway.

Dimitris Fotiadis, PhD

Professor Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering University of Ioannina, Greece

Prof. Dimitrios I. Fotiadis (Male), received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Biomedical Research Institute. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 250 R&D funded projects (in FP6, FP7, H2020, and national Projects), being the coordinator (e.g. INSILC, TAXINOMISIS, HOLOBALANCE, CARDIOCARE, DECODE, etc.) and Technical coordinator (e.g. SMARTOOL, KARDIATOOL, TO_AITION, etc.). He is the author or coauthor of more than 350 papers in scientific journals, 500 papers in peer-reviewed conference proceedings, and more than 50 chapters in books. He is also the author/editor of 30 books. His work has received more than 23,000 citations (h-index=71). He is IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, Fellow of AIAA, member of the IEEE Technical Committee of Biomedical Health Informatics, Editor in Chief of IEEE Journal of Biomedical and Health Informatics, Member of the Editorial Board in IEEE Reviews in Biomedical Engineering, Associate Editor for IEEE Open Journal in Engineering in Biology and Medicine and Computers in Biology and Medicine. His research interests include multiscale modelling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, machine learning, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. He is the co-founder of PD Neurotechnology Ltd, UK.

Dr. Yeo Khung Keong

Deputy Medical Director (Data Science and Innovation),  National Heart Centre Singapore

Dr. Yeo graduated in 1997 from the National University of Singapore where he obtained his Bachelor of Medicine and Surgery. He subsequently trained in the United States of America and obtained his American Board of Internal Medicine Certifications in Internal Medicine, Cardiovascular Medicine and Interventional cardiology. Currently, Dr Yeo is Deputy Medical Director (Data Science and Innovation) at the National Heart Centre Singapore. He is a senior consultant cardiologist and interventional cardiologist in the department of cardiology and leads the MitraClip program. He is also the Scientific Lead for the Data, Digital and AI Core at the National Heart Research Institute Singapore. Dr Yeo previously served as the Program Director of the SingHealth Cardiology Senior Residency Program, and also as the Academic Vice Chair (Training and Education) for the SingHealth Duke-NUS Cardiovascular Academic Clinical Program (Apr 2016 to Mar 2021). He is also the SingHealth Group Deputy Chief Medical Informatics Officer (Research).

Dr. Yeo is a Council member of the Singapore Cardiac Society. He is also a Fellow of the American Heart Association, the European Society of Cardiology (FESC), American College of Cardiology (FACC), the Asian Pacific Society of Cardiology (FAPSC), the Asian Pacific Society of Interventional Cardiology, and the Society of Cardiovascular Angiography and Interventions (FSCAI). He is the Chair of the Scientific Advisory Board for the Asian Pacific Society of Cardiology. He has published widely in international peer-reviewed journals and is a peer-reviewer for Circulation, the American Journal of Cardiology, Heart, Journal of the American College of Cardiology: Cardiovascular Intervention, Korean Circulation Journal, Structural Heart, AsiaIntervention, ASEAN Heart Journal, Annals of the Academy of Medicine and Singapore Medical Journal. He is a member of the Editorial Board of the Korea Circulation Journal and AsiaIntervention. He has been appointed by the Asian Pacific Society of Cardiology to be its Founding Editor-in-Chief of the Journal of the APSC. He is the Past-Chair of the Chapter of Cardiologists, Academy of Medicine Singapore, and the Chair of the Scientific Advisory Board for the Asian Pacific Society of Cardiology. He is a board member for the College of Physicians, Academy of Medicine Singapore.

Dr Yeo is particularly interested in the use of percutaneous or catheter-based techniques to treat the mitral valve and the tricuspid valve. He has presented multiple talks in regional and international conferences on the Asian experience with the MitraClip device and has established the MARS registry (MitraClip Asia-Pacific Registry). In his other major research interest, Dr Yeo is interested in long-term cardiovascular outcomes in Health Services Research and the use of data science to develop insights into the diagnosis and management of heart disease. He has published multiple papers comparing outcomes in large studies including those from large registries in the USA. He is the PI of the SingCLOUD registry, which is a national registry of all patients with coronary artery disease and heart failure. The SingCLOUD registry will include all restructured hospitals and polyclinics; it will follow clinical, cost and quality-of-care outcomes in these patients for 1-3 years in Singapore. Dr Yeo is also the PI for SingHEART which is a prospective observational study or normal volunteers in Singapore. SingHEART combines whole genome sequencing with deep phenotyping (cardiac MRI, CT calcium score, ambulatory BP and ECG, fitness tracker, and blood tests) and long-term clinical follow-up for 20 years.

Lee Hwee Kuan

Bioinformatics Institute, Agency for Science, Technology and Research

Lee Hwee Kuan’s current research work involves the development of Artificial Intelligence (AI) research for clinical and biological applications. Hwee Kuan’s primary appointment is as the Deputy Director for Training and Talent development in the Bioinformatics Institute. He also holds multiple adjunct and joint appointments in the local universities and other research institutions.

Andrew Laine D.Sc.

Percy K. and Vida L.W. Hudson Professor of Biomedical Engineering and Professor of Radiology (Physics), Columbia University

Andrew Laine the Heffner Biomedical Imaging Lab at Columbia, he focuses on the mathematical analysis and quantification of medical images, signal and image processing, computer-aided diagnosis and biomedical / imaging informatics. His work is based on imaging structures at the molecular, cellular, tissue, and organ levels of analysis. The goal is to develop biomedical technology for unmet clinical needs and to transition that technology into commercial products that will improve healthcare and save lives. Laine was the first to use multiscale “wavelet” representation to enhance subtle details in mammograms. Today, the algorithm he developed in 1992 is used in almost all commercial digital mammography systems. Currently, Laine is applying multiresolution wavelet techniques to classify pulmonary emphysema. He is also collaborating on a project in medical informatics to enable clinicians to better diagnose a patient using both text and annotated findings from medical images. Laine’s work draws on such techniques as time-frequency decompositions, speckle tracking, texture analysis, variational segmentation, parametric deformable models, and image reconstructions. Laine received a BS in biological science from Cornell University in 1977, an MS in chemistry from the University of Connecticut in 1980, and a DSc in computer science from Washington University, St. Louis, in 1989. He is a fellow of the Institute of Electrical and Electronics Engineers and of the International Federation for Medical and Biological Engineering. He is also a member of Columbia’s Data Science Institute.

Dr. Goh Han Leong, PhD

(Engineering) Senior Principal Specialist, Platform Services Data aNalytics & Ai (DNA) Integrated Health Information Systems Pte Ltd (IHiS)

Dr. Goh Han Leong is the senior principal specialist at Integrated Health Information Systems (IHiS), the technology agency for Singapore’s public healthcare sector. At IHiS, Dr. Goh leads the development of AI & data analytics solutions that can be used to better manage and improve healthcare services.
He also develops strategies and provides guidance to multiple stakeholders on how to advance the application of AI and data analytics in healthcare. Dr. Goh’s notable projects include leading a team in the use of machine learning to monitor and predict multiple readmissions in hospitals, as well as applying deep learning algorithms on chest X-ray images to develop an AI prognostication tool that helps detect severe community-acquired pneumonia and COVID-19 respiratory infections. He was awarded a National Commendation Medal (COVID-19) in 2022. This is awarded to individuals who performed outstandingly during the COVID-19 pandemic.
Dr. Goh is an accomplished data scientist with more than 15 years of experience. In 2023, he undertook the role of Adjunct Senior Lecturer at the National University of Singapore (NUS) teaching “Healthcare Transformation with Analytics” to students taking NUS Master of Science in the Business Analytics Programme.
Prior to his current role, Dr. Goh was a project manager and data scientist at SingTel‘s living analytics R&D lab, where he was responsible for delivering insights to clients’ projects by leveraging big data analysis. Dr. Goh also spent the first half of his career at the Land Transport Authority (LTA) where he provided technology leadership and strategic oversight for mobility solutions regarding land transportation. He received his Doctorate and Bachelor’s degree in Engineering from the National University of Singapore.

Dr. Su Bin Lim

Ajou University School of Medicine, South Korea

Dr. Su Bin Lim received her B.Eng. and Ph.D. degrees in Biomedical Engineering from National University of Singapore in 2015 and 2019, respectively. After working as a postdoctoral research fellow at the Johns Hopkins University School of Medicine, USA, she joined Ajou University School of Medicine, South Korea, as an assistant professor in 2021. She serves as an editorial board member of Scientific Data (Springer Nature) and the committee member of Korean Society for Bioinformatics (KSBI). Her current research interests are in single-cell omics data analysis in cellular senescence in cancer.

Nan Liu

Associate Professor, Centre for Quantitative Medicine, Duke-NUS Medical School

Dr. Nan Liu directs the Digital Medicine Lab (www.DigitalMedicineLab.org) at the Centre for Quantitative Medicine and Programme in Health Services and Systems Research, Duke-NUS Medicine School. His research focuses on artificial intelligence and machine learning with applications to medical informatics, health services research, emergency and critical care,cardiology, and health innovation. Dr Liu has been awarded research grants from the NationalMedical Research Council, National Health Innovation Centre, and National Research Foundation. He was recognized as one of the World’s Top 2% Scientists by Stanford University and Elsevier in 2022. Dr Liu serves and has served as Associate Editor/Editorial Board Member for more than 10 prestigious peer-reviewed journals, such as npj Digital Medicine, IEEE Journal of Biomedical and Health Informatics, and PLOS Digital Health. Additionally, he is a regular reviewer for more than 80 international journals, including The Lancet and Nature Medicine. Dr Liu has served as the Chairman of the IEEE Engineering in Medicine and Biology Society (EMBS) Singapore Chapter.

Feng Mengling

Faculty member at Saw Swee Hock School of Public Health and Assistant Director of Research at Institute for Data Science at NUS

Dr. Feng is currently a faculty member at Saw Swee Hock School of Public Health and also the Assistant Director of Research at Institute for Data Science at NUS. He is also the Senior Assistant
Director of National University Hospital, championing the big data analytics and healthcare AI initiatives. His research is to develop machine learning algorithms to extract actionable knowledge
from large amount of data to enable better quality of healthcare. His research brings together concepts and tools across deep learning, optimization, signal processing, statistical causal inference
and big data management. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, JAMA and top international conferences, such as KDD, AAAI and
AMIA.

Natalie Mrachacz-Kersting

Professor at The University of Freiburg, Freiburg

Prof. Dr. Natalie Mrachacz-Kersting member of IEEE, received her Ph.D. degree in biomedical engineering from Aalborg University, in 2005, and currently holds the Chair for Neuroscience and Neuroscience in Sport at the Albert-Ludwigs University of Freiburg. She is the Practitioner Representative for the IEEE Engineering Medicine and Biology Society, Chair of the IEEE WI(BM)E and on the Initiative Steering Committee of the IEEE Brain. She has previously held positions at Aalborg University, Denmark, FH Dortmund and at the University of Auckland, New Zealand. Natalie does research in Medical Technology, Biomedical Engineering and Neuroscience. She has authored over 80 articles in peer-reviewed journals, over 130 conference articles/abstracts, ten book chapters and one book. She is working on several projects specifically within the area of Brain-Computer-Interfaces (BCIs) involving patient populations such as those suffering from stroke or ALS. Dr. Mrachacz-Kersting received several awards including the international BCI award in 2017.

Tyler Hyungtaek Rim, MD, MBA, PhD

Chief Medical Officer (CMO), Mediwhale Inc.
Adjunct Assistant Professor, Duke-NUS Medical School
Adjunct Clinician Scientist, Singapore Eye Research Institute/Singapore National Eye Centre

Tyler Hyungtaek Rim currently serves as the Chief Medical Officer (CMO) at Mediwhale Inc. In addition to this role, he holds adjunct positions as an Assistant Professor at Duke-NUS Medical School and as a Clinician Scientist at the Singapore Eye Research Institute (SERI) and Singapore National Eye Centre (SNEC). Prior to these roles, he served as an Assistant Professor at Duke-NUS medical school in Singapore and Yonsei University in Seoul, Korea. As a clinician and vitreoretinal surgeon, Tyler has extensive experience in diagnosing and managing retinal diseases, with expertise in minimally invasive vitrectomy techniques. His research interests encompass data sciences in ophthalmology, including biostatistics, epidemiology, big data analytics, and machine learning. Tyler has published over 150 scientific papers in respected peer-reviewed journals such as The Lancet Digital Health, npj Digital Medicine, and European Heart Journal Digital Health, serving as first or corresponding author. In order to translate his research findings into practical applications, Tyler co-founded Mediwhale Inc., a medical AI startup where he currently works as a full-time CMO (Medical). The eye is the only organ allowing for non-invasive observation of blood vessels, making it possible to screen for ocular, chronic, and cardiovascular diseases from eye scan. Since 2016, Mediwhale has been a rapidly growing healthcare startup dedicated to developing a simple, effective solution that enables early detection of hidden diseases and risks in primary care. The company has successfully raised more than $10 million USD in funding.

Rex X. Tan, PhD, MBA

Chief Technology Officer, Aevice Health

Dr Rex Tan is the Chief Technology Officer of Aevice Health, a Singapore-based medical technology spin-off of Nanyang Technological University. The company develops wearable technologies that aid in respiratory healthcare which received several international honours such as the CES Best of Innovation for digital health, IEEE N3XT Stars and OCBC Emerging Enterprise award. Before becoming a co-founder of Aevice Health, he worked on several biomedical and chemical sensing research projects, including applications in surgical robotics, point of care in vitro diagnostics and heavy metal detection. Rex and his team in Aevice Health are currently working on R&D projects that focus on medical IOT, health informatics and remote patient monitoring technologies with high TRL that enables better clinical and self management of chronic respiratory diseases. Rex holds a Ph.D. in Optoelectronics from University of Southampton, a Ph.D. in Engineering from Nanyang Technological University and MBA from Quantic School of Business and Technology.

Dr. Ali Tinazli

CEO, lifespin GmbH

Dr. Ali Tinazli, joined in Summer 2021 lifespin in Germany as CEO and has a deep background in the science and business of biomedicine and healthcare as well as technology convergence between digital/consumer technologies and healthcare. Tinazli received his Ph.D. in Biochemistry from J.W. Goethe University in Germany, and also studied business at UC, Berkeley’s Haas School of Business and MIT’s Sloan School of Management. Ali has done extensive work in the field of the molecular biology of aging and nanobiotechnology and has authored about 20 publications. After receiving his Ph.D., Ali was in Corporate Development at Applied Biosystems (now: Thermo Fisher) where he conducted technology scouting and in-licensing. From 2008-2015, Dr. Tinazli built the biomedical consumables business at Sony DADC (part of SONY Corporation). As a member of the management team at Sony DADC BioSciences, he has headed as VP & Head of Business Development the Americas business based out of Cambridge, MA. From 2015-2019 Ali was leading Hewlett-Packard’s global healthcare strategy in Palo Alto (CA, USA) which resulted in an HP board approval to enter health diagnostics — after he joined point-of-care diagnostics start-up Fluxergy in Irvine (CA, USA) as CCO and brought the company’s first product under CE-IVD to the European and Middle Eastern market. In addition to his bioscience and industry domain expertise, Ali brings strong entrepreneurial experience and hands-on knowledge of the biosciences start-up community and serves as Board Member and Angel Investor in numerous start-ups ranging from cybersecurity to oncology.

Yiwen Wang, PhD

Chair, IEEE EMBS NeuroEngineering Technical Committee Editor-in-Chief, IEEE BRAIN newsletter Associate Professor Department of Electronic and Computer Engineering Department of Chemical and Biological Engineering Hong Kong University of Science and Technology Clear Water Bay, Kowloon Hong Kong

Yiwen Wang received B.S. and M.S. degrees from University of Science and Technology of China (USTC), Hefei, Anhui, China in 2001 and 2004 respectively. She received a Ph.D. degree from University of Florida, Gainesville, FL, USA in 2008. She then joined the Department of Electronics and Computer Engineering as a Research Associate at the Hong Kong University of Science and Technology, Kowloon, Hong Kong. In 2010, she joined as an associate professor at Zhejiang University, Hangzhou, China. In 2017, she joined the faculty at the Department of Electronic and Computer Engineering, Department of Chemical and Biological Engineering, the Hong Kong University of Science and Technology. She is now an associate professor with substantiation. Her research interests are in neural decoding of brain-machine interfaces, adaptive signal processing, computational neuroscience, and neuromorphic engineering. She serves as the Chair of the IEEE EMBS Neural Engineering Tech Committee, the chair of the IEEE BRAIN publication subcommittee, and the board member of Brain Computer Interfaces Society. She is the Editor-in-Chief of the IEEE Brain Newsletter. She also serves on the editorial board of the Journal of Neural Engineering, and is the associate editor of Frontiers in Human Neuroscience (Brain-Computer Interfaces), an associate editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering g, and an associate editor of the IEEE Transactions on Cognitive and Developmental Engineering. She was recognized as IEEE EMBS distinguished lecturer in 2022. She holds two US patents and has authored more than 100 peer-reviewed publications.