Join our upcoming event, Berkeley Dialogue 2023: The Intersection of AI and Biotech, co-hosted by the Berkeley Club of Taiwan UC Berkeley’s College of Engineering and TMU Biomed Accelerator, on May 18, 6:30-9:00 p.m., at the Regent Taipei.
The Intersection of AI and Biotech will feature a panel of experts who will provide insights into the latest trends, challenges, and opportunities in these hottest fields. Hosted by Matthew Sherburne, Professor of Materials Science Engineering and Director for International Partnerships, Berkeley Engineering. The panelists will include:
- Jowy Tani: Professor and CEO, Biomed Accelerator, Taipei Medical University
- Yu-Chuan Jack Li: Professor and Medical AI Expert, Taipei Medical University
- Jane Tseng: Director Drug Research Center and Professor of Graduate Institute of Biomedical Electronics and Informatics, National Taiwan University, Co-Founder VIRTUALMAN
- Hung-Yi Lee: Associate Professor of the Department of Electrical Engineering and the Department of Computer Science & Information Engineering of National Taiwan University
This is a unique opportunity to engage with some of the brightest minds in the fields of AI and Biotech, to learn about the latest research and developments, and to interact with alumni and visiting faculties and students! We hope that you can join us for this exciting event.
[Date]
Thursday, May 18th, 2023
[Time]
18:00 - 21:00
[Place]
Regent Taipei, 1F Noble House
台北市中山北路二段39巷3號
(No 3, Lane 39, Section 2 Zhongshan N. Road., Taipei)
[Price*]
Early Birds (by 5/10): $1,000
Regular (by 5/16): $1,200
At Door: $1,500
Current Students/Young Alumni (Within 5 years): $600 **
* Light refreshments will be served.
** Limited Quantity / Approval Required
[Dress Code]
Business Casual
[Panel Speakers]
Dr. Matthew Sherburne
Matthew P. Sherburne Ph.D. teaches and performs research at the intersection of materials discovery and design for sustainability. His research includes the discovery of new and novel materials for solar energy generation, catalysis for biofuels and small molecules and the electrochemical reduction of CO2. In this work high throughput computational tools are used to screen large numbers of potential new materials; this large data set can then be used to train machine learning algorithms to make the discovery and optimization of new materials more efficient.
Much of his research efforts has been spent working with international collaborators. In 2014 he became the Program Director of the Singapore-Berkeley Research Initiative for Sustainable Energy (SiNBeRISE). He has active collaborations involving researchers in the Philippines, India, France, Australia, and Singapore. In December 2020 he became the Director for International Partnerships for the College of Engineering and Director of GLOBE the Global Learning and Outreach from Berkeley Engineering. Through GLOBE he oversees the College of Engineering efforts for international partnerships in education and research. He has also recently been named the CEO for the Berkeley Educational Alliance in Singapore (BEARS); BEARS houses large collaborative research efforts, involving 10 faculty form UC Berkeley and often 20 or more faculty in Singapore.
Dr Jowy Tani
Dr. Jowy Tani is the CEO of Taipei Medical University Biomed Accelerator, Taiwan’s first university-based biomedical startup accelerator. He was an alumni of the Berkeley-Taiwan Biomedical (BTB) Fellowship and Stanford Biodesign Global Faculty Program. He has extensive experience in architecting biomedical innovation ecosystems, leading medical innovation projects, and coaching Medtech strategies for startups. As a neurologist-innovator, Dr. Tani has in-depth expertise in dementia, sleep medicine, and electro neurophysiology.
He is also serving as the Deputy Secretary-General of Taiwan Neurological Society, Director of Wan Fang Hospital Sleep Medicine Center, Deputy Director of Wan Fang Hospital Biomed Innovation Center, Deputy CEO of Taipei Medical University Biodesign Center, and Assistant Professor of Neurology at Taipei Medical University.
Dr. Yu-Chuan Jack Li
Yu-Chuan Jack Li is an esteemed expert in artificial intelligence (AI) in medicine and translational biomedical informatics, ranked among the top 2% of scientists worldwide. He has actively participated in international collaborations in Asia, the US, Europe, and Africa. Li has been the principal investigator of numerous national projects on translational biomedical informatics, patient safety, and medical AI to advance the use of AI in disease prevention, focusing on "earlier medicine", safety and quality. His research on temporal phenomic stochastic models has developed into the largest model ever constructed based on medical data elements such as medications, diagnoses, lab tests, examinations, and procedures.
Throughout his career, he keeps dedicated himself to bridging the gap between clinical research, practice and the business sector. In recognition of his outstanding achievements, Li was elected a Fellow of the Australian College of Health Informatics, the American College of Medical Informatics, and the International Academy of Health Science Informatics. He has also been honored with numerous awards for his outstanding achievements.
Currently, Li serves as the President of the International Medical Informatics Association (IMIA), an NGO with close ties to the World Health Organization (WHO) that brings together people from around the world to advance biomedical and health informatics science, education, and practice.
He is also a Distinguished Professor at Taipei Medical University, a practicing dermatologist at Taipei Municipal Wanfang Hospital, and the editor-in-chief of the BMJ Health & Care Informatics Journal.
Dr. Jane Tseng
Professor Y. Jane Tseng received her B.S. degree in Pharmacy from National Taiwan University in 1997, and Ph.D. degree in Medicinal Chemistry and Pharmacognosy from University of Illinois at Chicago in 2002. Prof. Tseng worked as a postdoctoral research associate at UIC in 2003 and 2004 and then moved to the National Center for Biotechnology Information, National Institutes of Health in 2005 as an IRTA research fellow.
Dr. Tseng joined the Department of Computer Science and Information Engineering of National Taiwan University as an assistant professor in 2006 and holds a joint appointment at the Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University. Prof. Tseng is also the Principal Investigator of Metabolomics Core Laboratory at Genomics Center of National Taiwan University. She is in charge of the Molecular Modeling Team at Drug Research Center in National Taiwan University. In 2015, Prof. Tseng accepts the position as the director of Drug Development Center at National Taiwan University.
For the past several years, Prof. Tseng has served as the guest-editor-in-chief for the special issue of the Journal of Combinatorial Chemistry and High Throughput Screening, and editorial advisor for the Journal of Molecular Graphics and Modeling and the Journal of Combinatorial Chemistry and High Throughput Screening. She is also a programming board member of the Computers in Chemistry Division of the American Chemistry Society and continually serves as the chair of the drug discovery symposium, Division of Computers in Chemistry at American Chemistry Society national meetings.
Dr Hung-Yi Lee
李宏毅 (Hung-yi Lee) Hung-yi Lee is an associate professor of the Department of Electrical Engineering of National Taiwan University (NTU), with a joint appointment at the Department of Computer Science & Information Engineering of the university. His recent research focuses on developing technology that can reduce the requirement of annotated data for speech processing and natural language processing. He won Salesforce Research Deep Learning Grant in 2019, AWS ML Research Award in 2020, Outstanding Young Engineer Award from The Chinese Institute of Electrical Engineering in 2018, Young Scholar Innovation Award from Foundation for the Advancement of Outstanding Scholarship in 2019, Ta-You Wu Memorial Award from Ministry of Science and Technology of Taiwan in 2019, and The 59th Ten Outstanding Young Person Award in Science and Technology Research & Development of Taiwan.
Hung-yi is also a famous YouTubeer teaching deep learning with >150k Subscribers.
