Join This Important Discussion
This conference will offer a blend of panel discussions, keynote speakers, and breakout sessions that will cover a wide range of topics, including using AI to detect disease, ethics in AI, deciphering the data of COVID-19, and advancements in wearable technology.
While open to all, the information shared at the virtual conference will be especially beneficial to data scientists, engineers with a focus in AI or machine learning, clinical researchers, medical students, and more.
Virtual Conference Session Recordings
Missed a session? Watch them here
Day One Recordings
Day One Recordings
Director of AI | Change Healthcare
Alex, a 20-year veteran in the B2B software space, has extensive experience in NPL, drone navigation, self-driving, and more. At Nvidia, he was instrumental in deep learning, AI platforms/tools, cyber, fraud, and enterprise AI.
Product Director for AI Solutions | iCAD
Andjela is a senior leader with 18+ years of domestic and international experience in high-tech healthcare industry. She served as a VP of BD for Mint Medical, product & strategy leader at IBM Watson Health, Pentax Medical and TeraRecon, prior to joining iCAD as a Product Director for AI Solutions.
General Manager | Relias Population Health
Carol has 30+ years of healthcare experience in healthplan, government and healthcare provider settings. She served as the CEO of Care Management Technologies, a health IT data analytics company that was acquired by Relias in 2015.
MD, Executive VP | Scripps Research
Eric is the Founder and Director of the Scripps Research Translational Institute, Professor, Molecular Medicine, and Executive Vice-President of Scripps Research. He has been voted as the #1 most Influential physician leader in the United States.
Director of Data Science & Analytics | Wellframe
Emily is an expert in AI for both medical imaging and translational digital healthcare. She holds a PhD from Harvard-MIT's Health Sciences & Technology division and founded her own digital health company in the opioid space.
MD, PhD, FACMI, CMO | HealthTap
Geoffrey is a double-board certified physician with a Stanford PhD in medical computer science. He served on faculty at Harvard, Stanford, and UCSD, created the first consumer health website and PHR at Healtheon/WebMD, and was an executive at Epocrates and FCG, and CMIO at San Mateo Medical Center.
Co-Founder & CTO | PhenoMx
Girish Srinivasan is an accomplished healthcare professional and entrepreneur with 20+ years of experience building med-tech solutions. He has an MS in Computer Science and a PhD in Biomedical Engineering. He is currently leading efforts on radiomics and phenotyping for precision healthcare.
Lead AI Researcher | Synthesis AI
Humayun is a Machine Learning and Computer Vision Leader, specializing in Deep Learning, Active Learning and Synthetic Data Generation, with domain expertise in medical imaging. He has experience in image recognition and classification, object detection and segmentation in 2D and 3D images/videos.
Program Manager at Healthcare AI Group | Microsoft Research
Ivan Tarapov is a Program Manager at Healthcare AI group at Microsoft Research where he had spent majority of the time contributing to Project InnerEye pursuing the development of robust auto-segmentation algorithms for MRI and CT images.
CEO | Pr3vent
Formerly director of biomaths at the Stanford Genome Technology Center, Stanford University,and Head of healthcare at IBM Research Africa, he is a serial entrepreneur, Stanford StartX founder and innovator focused on healthcare applications of AI.
Sr. Principal Algorithm Engineer | ACIST Medical Systems
Jung is a Sr. principal engineer and manager at ACIST Medical Systems. He received his Ph.D. from Virginia Tech for his 3D medical image processing work. Previously, he worked at GE Healthcare, HeartFlow and Samsung Electronics for ML with ultrasound, CT and MRI images.
Co-Director | Stanford Center for AI in Medicine and Imaging
Matthew is an expert in the field of AI and deep learning in medical imaging, precision medicine, and predictive health outcomes. His work was featured in NPR, Vice News, Scientific American and he regularly speaks at conventions worldwide on the topic of AI in healthcare.
Matthew R. Versaggi
Sr. Director of AI | Optum Technology
Matt is a thought leader, evangelist, education SME, and strategist in the Artificial Intelligence space. He's led a global AI/ML delivery team, is an SME for Optum’s College of AI, and sits on the UHG Patent Review Board reviewing AI/ML patent disclosures.
Principal Data Scientist | Genentech (member of the Roche Group)
Michael is on the Pharma Development Informatics team at Genentech, where he works on improving clinical trials and developing safer, personalized treatments with clinical and EHR data. Previously, he was a Lead Data Scientist at Change Healthcare.
Founder & President | Udacity
As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
Responsible AI | Google
Tiffany leads the Responsible AI Program team at Google, which aims to avoid creating or reinforcing unfair bias in machine learning. Previously, she focused on privacy program management for Facebook's Artificial Intelligence and the Messenger app.
Radiologist | UCSF Health Hub Advisor
Dr. Vachon is a practicing radiologist and speaker and author on machine learning in medical imaging and healthcare. He is determined to provide clinically useful tools for his healthcare colleagues to best leverage the vast amounts of data generated daily. He advises several companies and lives in San Diego California.
Co-Founder and CTO | HeartVista, Inc.
William is co-founder and Chief Technology Officer at HeartVista, Inc., an NIH- and venture-funded start-up that uses machine learning to dramatically reduce the expertise required to operate an MRI machine. He holds six issued patents covering various MRI and automation technologies.
MD, PhD, MPH
Xintong is enthusiastic about applying AI and data science to provide cost-effective solutions in healthcare, including mining claims data to save medical costs and building AI screening platforms to accelerate clinical product development cycles.
Informative Keynotes and Panels Led by Industry Thought Leaders
The following agenda shows the agenda for the two-day virtual conference. Please click on the tabs to see day's each session. Sessions are subject to change.
Sept. 15 Agenda
Sessions starting at 9:00 am (PT)
May 13 Agenda
Sessions starting at 9:00 am (PST)