Ph.D., Stanford Lecturer and Director of Stanford Deep Data Research Computing Center, Stanford University
Biography
Dr. Amir Bahmani is the Director of Stanford Deep Data Research Computing Center. He has been working on large-scale distributed and parallel computing applications since 2008. He is an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), the Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Stanford Integrated Personal Omics Profiling (iPOP) and Stanford Healthcare Innovation Lab. As a computer scientist, he is passionate about bridging the gap between computer scientists and biologists/physicians. He successfully launched Stanford University’s first Cloud Computing for Healthcare course, offered to students in Biology, Computer Science, Genetics, and Biomedical Data Science departments. His research draws on computationally intensive medical applications, cloud computing, data privacy in medical applications, database management systems, and pervasive and ubiquitous computing.
Session Abstract – PMWC 2022 Silicon Valley
The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.
Sessions:
- Data Sharing Application: Needs, Advancements, and Challenges
- Russ Cucina, UCSF
- Trustless Data Sharing; Expected Effects on Healthcare Industry
Session Chair: Riddhiman Das, TripleBlind
- John Halamka, Mayo Clinic - Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data
Session Chair: John F. Kalafut, Asher Orion Group
- Joel Sevinsky, Theiagen Genomics
- Ittai Dayan, Rhino Health
- Russ Cucina, UCSF
- Sharmila Majumdar, UCSF
- Ashok Chennuru, Anthem - Sustainable Data Systems via FAIR Data Principles
Session Chair: Alex Sherman, MGH
- Wade Davis, Karius - Multi-Factor Data Science to Inform Clinical Research
Session Chair: Charlotte Nelson, MATE Bioservices
- Gundolf Schenk, UCSF - Translational AI: Innovation to Clinical Implementation and Reimbursement
Session Chair: John J. Sninsky, Translational Consultant
- Katy Wack, PathAI
- Steve Anderson, LabCorp
- Nigam Shah, Stanford
- Rachael A Callcut, UCD - Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development
Session Chair: Patrice P Denefle, Centogene
- Purvesh Khatri, Stanford
- Marina Sirota, UCSF - AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
Session Chair: Robert Hauser, Vidence
- Alan Kaplan, LLNL
- Peter Yu, Hartford Healthcare
- Amir Bahmani, Stanford
- Andrew Le, Buoy Health - PMWC 2022 Showcase
- Kelly Hall, InheRET, Inc.
