Selected Speaking

• Regulatory gaps in health AI, Mid-Atlantic Public Health Partnership Future of Public Health, April 2024

• Let’s talk longevity, Main Line School Night, April 2024

• Mitigating AI Risk through Ethical Data Science, AMIA 2023 Annual Symposium, November 2023

• Technology Opportunities for Patient Navigation, President's Cancer Panel, November 2023

• “Trustworthy AI for Health Care”, University of Virginia Department of Medicine Grand Rounds, October 2023

• “Trustworthy AI in Cancer Care Delivery”, Atrium Health/Wake Forest Baptist Comprehensive Cancer Center Grand Rounds, October 2023

• “Why Human Algorithm Collaborations will Transform Care Delivery”, ISPOR 2023, May 2023

• “(In)equity in Risk Prediction: Examining and Mitigating Racial Bias in the Veterans Affairs Care Assessment Needs (CAN) Risk Model”, Fairness in Machine Intelligence for Global Health (FairMI4GH) session, 2023 Consortium of Universities for Global Health (CUGH) 14th Annual Global Health Conference, April 2023

• “AI Bias in Cancer Care,” American Society of Preventative Oncology Annual Meeting, March 2023

• “Why Human-Algorithm Collaborations will Promote Clinicians’ Trust in AI”, Microsoft Research, Wadhwani AI, & the University of Pennsylvania Workshop on Trustworthy AI, January 2023

• “Delayed, Deferred, or Lost Care: How the COVID-19 Pandemic Changed Care and Workforce Patterns in the US”, Leopold Koss Lectureship, American Society of Cytopathology & International Congress of Cytology, 70th Annual Scientific Meeting, November 2022

• “How do we Measure the Patient and Caregiver Experience in Serious Illness?”, Coalition to Transform Advanced Care Summit, November 2022

• “Evening Up the Outcomes: Addressing racial disparities and treatment of prostate cancer”, Focus on Prostate Cancer, October 2022

• “Early Transitions from Academia: Is Talent Swapping or Swapping?”, American Association of Cancer Institutes and the Cancer Center Administrators Forum (AACI/CCAF) Annual Meeting, October 2022

• “Human-Machine Collaboration in Cancer Care”, Penn Big Data Conference, September 2022

• “The Efficacy Arm in Silico”, Symposium on Risks and Opportunities of AI in Clinical Drug Development, June 2022

• “Long-term effect of machine learning–triggered behavioral nudges on serious illness communication and end-of-life outcomes among patients with cancer: A randomized clinical trial”, ASCO Annual Meeting, June 2022

• “Clinician-Algorithm Collaborations to Improve Serious Illness Communication in Cancer Care”, National Cancer Institute Machine Learning and Health Outcomes in Cancer Care Delivery Research Workshop, May 2022

• “Bias and Disparities in Clinical AI,” American College of Cardiology The Evolving Practice of Cardiovascular Precision Medicine, May 2022

• “How did the pandemic change the value of cancer care?,” AJMC Institute of Value-Based Medicine, April 2022

• “A New Lens for AI: TechEquity,” VIVE 2022. March 2022

• “Quality Improvement in Advanced Illness,” National Quality Forum Leadership Consortium Webinar. December 2021

• “Equity in Home Care in Advanced Illness,” American Academy of Home Care Medicine. October 2021

• “Leveraging Existing Veterans' Data to Improve Prostate Cancer Survivorship at the VA,” Prostate Cancer Foundation Annual Scientific Retreat. October 2021

• “Mitigating bias in artificial intelligence: Do we throw the baby out with the bathwater?”, National Institute of Nursing Research. September 2021.

• "Machine Learning," American Medical Association Medical Student Section Meeting. June 2021.

• "Improving Racial Equity in the Veterans Health Administration Care Assessment Needs Risk Score," AcademyHealth Annual Research Meeting. June 2021

• "How to Leverage Federal Policy to Advance Home- and Community-Based Care Models," Coalition to Transform Advanced Care (C-TAC) National Policy Forum. May 2021.

• "Leveraging Machine Learning and Behavioral Nudges to Transform Advanced Illness Care: A Case Study in Serious Illness Communication," National Institute on Aging: Behavioral and Social Research Division Workshop. April 2021.

• "Trends Transforming Advanced Illness Care: The Promise of Technology," the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School. April 2021.

• "Addressing AI Bias in Health Care: Do We Throw the Baby Out With the Bathwater?," American Association for the Advancement of Science (AAAS) Annual Meeting. February 2021.

• “Moving Machine Learning from the Computer to the Clinic: A Case Study in Serious Illness Communications," NRG Oncology Digital Health Workshop. February 2021.

• "Using Machine Learning to 'Nudge' Better End-of-life Care in Oncology," AI Oncology Seminar, Lund, Sweden

• "Moving Predictive Analytics from Hype to Reality," American Heart Association Scientific Sessions. November 2019.

• "Predictive Analytics in Clinical Care," Health Datapalooza, Washington, DC. April 2017

• "Blogging and Social Media in Healthcare," American College of Physicians Internal Medicine Meeting, San Diego, CA. March 2017