Upcoming Programs and Events

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Columbia Business School's Healthcare and Pharmaceutical Management Program is pleased to invite you to the 4th Annual Columbia Business School Digital Health Summit on Friday, March 27, 2026 from 12:00 PM - 6:00 PM ET at Columbia Business School (645 West 130th Street, New York, NY 10027). Join us for a half-day experience with discussions featuring expert founders, practitioners, and investors to explore and discuss the current and future state of digital health, including technological innovation, market performance, digital trends shaping the future of healthcare, and opportunity pathways in digital health. The Summit will feature an engaging lineup of speakers and discussions, as well as several opportunities to network and connect with attendees throughout the event. Agenda 12:00 PM-1:15 PM | Digital Health Careers & Networking Session (CBS and VP&S students) 12:00 PM-1:40 PM | Check-in, Registration & Networking 1:45 PM-1:55 PM | Welcome & Opening Remarks Carri Chan, PhD, Cain Brothers & Company Professor of Healthcare Management, and Faculty Director of the Healthcare and Pharmaceutical Management Program at Columbia Business School 1:55 PM-3:10 PM | Panel 1: Digital Solutions for Wellness and Longevity Robin Berzin, MD (VP&S ’11), Founder and CEO of Parsley Health Pranitha Patil, Co-Founder and CBO of Function Health Matthew Weinberg, MBA (CBS ’18), General Partner at Max Ventures Chao Wang, Chief Commercial Officer and COO of Jona Moderated by Daniel Moskovic, MD, MBA (CBS ’11), Senior Partner at McKinsey and Company 3:10 PM-3:40 PM | Break & Networking 3:40 PM-4:55 PM | Panel 2: ROI of AI in Life Sciences Despina Kontos, PhD, Vice-Chair of AI and Data Science Research in Radiology; Director of the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics; and Chief Research Information Officer of Columbia University Irving Medical Center Daniyal Hussain (CBS '19, Mailman '15), Executive Director, Technology Business Development at GSK Armen Vidian, Founder and Managing Partner of Recode Ventures Felix Wong, PhD, Co-Founder and CEO of Integrated Biosciences Moderated by J. Dana Hughes, MBA (CBS '01), Transactions Strategy Leader, Life Sciences at KPMG 4:55 PM-5:00 PM | Closing Remarks 5:00 PM-6:00 PM | Cocktail Reception Thank you to our co-sponsors, Columbia Business School's AI in Business Initiative, Columbia University's Herbert Irving Comprehensive Cancer Center (HICCC), and Columbia University's Department of Biomedical Engineering, and our supporting partner, Harlem Biospace, for their partnership on this event.

The Herbert and Florence Irving Institute for Cancer Dynamics will continue its seminar series on the topic of mathematical sciences underpinning cancer research. The monthly seminars take place on the second Wednesday of the month, 2:00-3:00 PM EST. The presentations are open to the Columbia community (in person and online) and to researchers outside Columbia (via Zoom). On Wednesday, April 8th (2:00 PM ET), IICD welcomes Dr. Andrea Sottoriva from Human Technopole. Seminar hosted by Dr. Sanja Vickovic. The seminar will take place in person in Schermerhorn Hall 603 (Morningside Heights campus). If you wish to attend the seminar remotely, please register using the following link: https://columbiauniversity.zoom.us/meeting/register/HPHK-ZXRSqeujCopJt6h-g Title: Measuring and Predicting Cancer Evolution with Population Genetics and Machine Learning Abstract: Cancers evolve following Darwinian rules. Predicting and potentially controlling disease evolution requires appropriate measuring of evolutionary processes in human samples and model systems. This can only be done by combining data collection with computational and mathematical modelling of evolutionary dynamics. Moreover, cancer evolution is not only driven by genetic mutations, but also by epigenetic alterations that, when heritable, can fuel Darwinian selection. I will present approaches that combines multi-omic data collection from patients and patient-derived model systems with computational methods to extract evolutionary biology from cancer genomic and epigenomic data. Bio: The Sottoriva Lab focusses on deciphering the dynamics of cancer growth, progression and treatment resistance using computational approaches applied to multi-omic data, with the objective of predicting and controlling the disease. We also develop experimental evolution approaches to study cancer drug resistance, bringing the theory+experiment approach to biology. BSc in Computer Science (University of Bologna, 2006), MSc in Computational Sciences (University of Amsterdam, 2008), PhD in Computational Biology (University of Cambridge, 2012), after postdoctoral work at the University of Southern California, he started his lab at the Institute of Cancer Research in London in 2013, where in 2018 he became the Deputy Director of the Centre for Evolution and Cancer and then Director in 2020. He is now the Head of the Computational Biology Research Centre at Human Technopole in Milan, Italy. If you would like to meet one-on-one (possibly via Zoom) or attend the lunch or dinner with the speaker, please contact the event organizer.

From Theory to Practice: IICD Workshop Series organized by the Irving Institute for Cancer Dynamics offers Columbia graduate students and postdoctoral scholars the opportunity to build research skills in a focused, hands-on setting. Each 3/4 hour in-person workshop covers a different topic and is led by IICD faculty, research scientists, or postdoctoral instructors. Limited to 15 participants, these interactive sessions combine concise lectures with practical exercises so participants can apply concepts immediately using current tools and methods. Website: https://cancerdynamics.columbia.edu/iicd-workshops Eligibility Open to Columbia researchers only. Research scientists, postdoctoral research scientists, PhD/MSc students, and research staff are welcome to attend. Registration Policy Workshops take place in person and registration is first-come, first-served, limited to 15 participants. By registering, you agree to attend the workshop in full. If you can no longer participate, please email IICDOutreach@columbia.edu as soon as possible so your spot can be offered to someone on the waiting list. Please register only if you are certain you can attend. Upcoming Workshop: "Parameter Estimation Workshop: Parameter Inference Approaches for Data-Driven Mathematical Modeling" (April 9, 2026) Instructor: Khanh Dinh, PhD Audience and Requirements: PhD students/postdocs/ARS's with basic command of R and interest in developing mathematical models for biological data. Key Learning Outcomes: Understanding of different approaches to modeling biological data Parameter inference tools for each approach Workshop Agenda: Overview of biological modeling and parameter inference Parameter inference for deterministic models Likelihood-based inference for stochastic models Likelihood-free inference for stochastic models Registration Deadline: April 6, 2026 (5 PM ET) Registration Link: Registration will open later in March.