DASH Event
UBC Data Science and Health 2023
November 14, 2023, 12:00 pm to 5:00 pm
The Data Science and Health Cluster (DASH) invites you to our 3rd annual Data Science and Health Conference
The Annual Data Science and Health Conference is designed to address the need for healthcare providers to improve their understanding of current data science concepts related to healthcare research, and how to optimally integrate data science into the delivery of care.
AI in Medicine: Rise of the Machines
November 14th, 2023 | 12pm - 5pm (PST) | Zoom
We invite you to the AI in Medicine: Rise of the Machines Conference! Jointly hosted with the UBC Vision Cluster, this year we are diving into the fundamental questions of AI in medicine as well as the state-of-the-art applications of AI in medical research. Join the world-leading guest speakers and cluster members to unpack the ethical, legal, and existential implications of AI, and how it can be leveraged to open new horizons in AI-human interactions!
AGENDA
EVENT RECORDINGS
Legal, Ethical, and Existential Considerations of Emerging AI Technologies (Gregory Blue, Kathleen Creel, Mantas Mazeika)
Trainee Research Presentations (Dollina Dodani, Jane Kim, Matthew Manson, Miini Teng)
Applications of AI in Healthcare Delivery and Research (Joanne Matsubara, Ipek Oruç, Hee Yeon Im, Nigam Shah, Martin McKeown, Rohit Singla, Ricky Hu)
INVITED SPEAKERS
Gregory G. Blue, K.C.
Greg Blue, K.C. is a Senior Staff Lawyer at the BC Law Institute (BCLI). He obtained an LL.B. from the University of Victoria and an LL.M. from the University of Toronto. After being called first to the Saskatchewan Bar, he practised with law firms in Regina and Saskatoon. He served in the Constitutional Law Branch, Sask. Department of Justice and also as solicitor to the Department of Energy & Mines. Called to the BC Bar in 1986, he was a Legal Research Officer to the Law Reform Commission from 1989-1997. He then practised maritime law with McEwen, Schmitt & Co. in Vancouver until 2003 when he became a staff lawyer at BCLI. He was appointed Queen’s Counsel in 2009.
Kathleen A. Creel, Ph.D.
Dr. Kathleen Creel is an Assistant Professor of Philosophy and Computer Science at Northeastern University, holding joint appointments in the College of Social Sciences and Humanities and Khoury College of Computer Sciences. Her research explores the moral, political, and epistemic implications of machine learning as it is used in automated decision-making and in science. Before joining Northeastern, Dr. Creel was the Embedded EthiCS fellow in the Center for Ethics in Society and the Institute for Human-Centered Artificial Intelligence at Stanford University. In this role, she worked with the Stanford Computer Science department to embed ethics in the core curriculum.
Mantas Mazeika
Mantas Mazeika is a 5th year computer science PhD student at the University of Illinois Urbana-Champaign. For the past six years, his research has focused on AI safety, and he has authored over a dozen technical papers on numerous topics in this area, including robustness, machine ethics, anomaly detection, and most recently AI security and red teaming. He is excited by the potential for future AI systems to benefit society but is also concerned by the multitude of risks they present. He has co-authored several papers discussing these risks and how to mitigate them.
Nigam H. Shah, MBBS, Ph.D.
Dr. Nigam Shah is a Professor of Medicine at Stanford University, and Chief Data Scientist for Stanford Health Care. His group analyzes EHR, Claims, Wearables, Weblogs, and Patient blogs, to answer clinical questions, generate insights, and build predictive models for the learning health system. At Stanford Healthcare, he leads artificial intelligence and data science efforts for advancing the scientific understanding of disease, improving the practice of clinical medicine and orchestrating the delivery of health care. Dr. Shah is an inventor on eight patents and patent applications, has authored over 200 scientific publications and has co-founded three companies. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016.
Ipek Oruç, Ph.D.
Dr. Ipek Oruc is the Director of the NOVA Lab and an Associate Professor at the University of British Columbia. Her research program is focused on the development and application of data science techniques in the analysis of retinal imaging, neuroimaging, and behavioral data, with the goal of advancing vision science and its applications in medicine. She serves on the editorial board of Vision Research and is affiliated with several institutes at UBC, including the Djavad Mowafaghian Centre for Brain Health, the Data Science Institute, and the Graduate Program in Neuroscience.
Hee Yeon Im, Ph.D.
Dr. Hee Yeon Im is an Assistant Professor in the Department of Psychology at the Director of the Interactive Mind & Movement Laboratory at the University of British Columbia. Dr. Im's team investigates how different brain parts coordinate countless connections between perception and action to mediate safe and timely motor movements in various physical and social contexts. She is also interested in neurocognitive bases of deficient perception-action links in impaired visuomotor coordination skills or maladaptive social behaviours, often a hallmark of many emotional disorders.
TRAINEE PRESENTATIONS: CALL FOR ABSTRACTS - CLOSED
Abstract submission has now closed.
Selected trainees will get designated time during the conference for a 10-minute oral presentation. Showcase your research around AI in Medicine and network with leading experts!
Abstract Submission Deadline: October 24, 2023 11:59PM
Award Recipients
Data Science and Health 2023 Trainee Research Award - Miini Teng (MD Trainee)
- $500 Cash Prize
- DASH Spotlight Series Feature
Data Science and Health 2023 Runner-Up Award - Dollina Dodani (PhD Candidate)
- $200 Cash Prize