Speaker Profile

Ph.D., Associate Professor, Bakar Computational Health Sciences Institute, UCSF

Biography
Marina is currently an Associate Professor at the Bakar Computational Health Sciences Institute at UCSF. Prior to that she has worked as a Senior Research Scientist at Pfizer where she focused on developing Precision Medicine strategies in drug discovery. She completed her PhD in Biomedical Informatics at Stanford University. Dr. Sirota’s research interests lie in developing computational integrative methods and applying these approaches in the context of disease diagnostics and therapeutics with a special focus on studying the role of the immune system in disease. The Sirota laboratory is funded by NIA, NLM, NIAMS, Pfizer, March of Dimes and the Burroughs Wellcome Fund. As a young leader in the field, she has been awarded the AMIA Young Investigator Award in 2017. Dr. Sirota also is the director of the AI4ALL program at UCSF, with the goal of introducing high school girls to applications of AI and machine learning in biomedicine.

Talk
Computational Drug Discovery in the Era of Precision Medicine
I will discuss leveraging molecular and clinical data to advance precision medicine in the context of drug discovery and repurposing.


 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.