2025-2026 Dinner & Learn Series
IP & FDA Regulatory Strategy in the AI Era
We are pleased to invite you to the March event in the KASBP Boston 2025–26 Dinner & Learn Series, taking place on Thursday, March 26, 2026.
"IP & FDA Regulatory Strategy in the AI Era”
Artificial intelligence (AI) is transforming biotechnology and pharmaceutical innovation from accelerating drug discovery to streamlining the clinical trial process. This seminar will explore two legal issues where AI intersects with biotech.
First, we will cover intellectual property (IP) and patent strategy for the unique challenges posed by protecting inventions stemming from the use of AI models in biotech and pharmaceuticals, including the use of clinical data, patent subject matter eligibility, and aligning patent filings with the regulatory approval process. Second, we will delve into IP transactions and Food & Drug Administration (FDA) regulatory considerations when it comes to AI and pharmaceutical innovations.
Special thanks to Foley & Lardner LLP for their generous support in making this event possible!
Please register in advance, as walk-in registration is limited.
Speakers
Austin Kim, Senior Counsel, Patent Attorney
Jolene Fernandes, PhD, Partner, Patent Attorney
Kyle Faget, Partner, Co-Chair of Health Care & Life Sciences Sector
Brian Tomkins, Partner, Patent Attorney
Agenda
5:00 - 6:00 PM Check-in and Dinner
6:00 - 7:00 PM Seminar
IP Strategy in the AI Era
Austin Kim, Senior Counsel, Patent Attorney
Jolene Fernandes, PhD, Partner, Patent Attorney
7:00 - 8:00 PM Panel Discussion
IP Transactions and Food & Drug Administration (FDA) Regulatory Considerations in the AI Era
Kyle Faget, Partner, Co-Chair of Health Care & Life Sciences Sector
Brian Tomkins, Partner, Patent Attorney
8:00 - 9:00 PM Networking
Location
111 Huntington Ave
Boston, MA 02199, USA
Foley & Lardner LLP, Suite 2500
Please register ahead of time and bring your ID to enter the building.
https://maps.app.goo.gl/BJLGH8FQETV1neuc6
RSVP
Radiology AI: Promise and Reality (From Lab to Adoption)
We are pleased to invite you to the Second February event in the KASBP Boston 2025–26 Dinner & Learn Series, taking place on Tuesday, February 24, 2026.
This session will feature a back-to-back seminar under the shared theme:
"Radiology AI: Promise and Reality (From Lab to Adoption)”
From Hospital Imaging Suites to the Frontiers of Human Space Exploration
The seminar will explore how artificial intelligence is transforming clinical radiology and advancing space medicine—from real-world implementation of AI models in medical imaging to next-generation diagnostics and how space-based research and microgravity-enabled platforms are reshaping drug development and translational science. We will also discuss how innovations developed for Earth-based healthcare and space exploration are converging to shape the future of medicine.
Speakers:
Young H. Kim, MD, PhD
Professor of Radiology, UMass Chan Medical School
Topic: AI Evolution in Radiology (TBA)
Fathi Karouia, PhD
Senior Research Scientist, NASA Ames Research Center & Blue Marble Space Institute of Science
Topic: Space as a Biomedical Accelerator: AI-Enabled Medicine for Earth and Beyond
Sponsor Talk:
Jeeyoung Lee
Global Business Development Lead, SpaceLiinTech
Date & Time:
Tuesday, February 24, 2026 | 5:00 PM – 9:00 PM
5:00 PM – 6:00 PM: Check-in and Dinner
6:00 PM – 7:00 PM: AI Evolution in Radiology
7:00 PM – 8:00 PM: AI Evolution in Space Medicine
8:00 PM – 8:15 PM: Sponsor Talk
8:15 PM – 9:00 PM: Networking
Location:
CIC Cambridge (5th Floor, Havana Room)
1 Broadway, Cambridge, MA 02142
Please bring your ID to enter the building.
RSVP: https://luma.com/2vki5mvo
Dinner will be served.
Please RSVP by February 20th to help us arrange this event accordingly. We look forward to welcoming you to an engaging evening of discussion and networking with colleagues across the Boston biotech and life sciences community.
Two sides of AI/ML in drug development: Building methods and translating to impact
“Two Sides of AI/ML in Drug Development: Building Methods and Translating to Impact”
From Target Discovery to Clinical Biomarker Development
The seminar will explore how AI/ML methodologies are developed and applied across the drug discovery and development continuum, with perspectives from both large-molecule and small-molecule innovation environments.
Speakers (Back-to-Back Presentations):
Celine Han, PhD
Computational Biologist, AmgenEric Ma, PhD
Senior Principal Data Scientist, Moderna
Date & Time:
Tuesday, February 3, 2026 | 5:00 PM – 9:00 PM
5:00 PM – 6:00 PM: Registration and Dinner
6:00 PM – 7:45 PM: Seminar (Back-to-back talks)
7:45 PM – 9:00 PM: Networking
Location:
CIC Venture Café (5th Floor)
1 Broadway, Cambridge, MA 02142
AI in Drug Development: Turning Breakthroughs into Impact
We are delighted to invite you to our October Dinner & Learn Series, titled “AI in Drug Development: Turning Breakthroughs into Impact.”
This is the second seminar in our Dinner & Learn series, focusing on the practical implementation of AI in preclinical research. The session will feature a keynote presentation and a panel discussion exploring how academia, startups, pharma, and venture capital can collaborate to transform AI-driven discoveries into real-world impact — accelerating the path from innovation to patients.
Location: CIC (Cambridge Innovation Center) – Havana room, 1 Broadway, Cambridge, MA
Date & Time: October 21 (Tue), 2025 | 5:00–9:00 PM
5:00 – 5:50 PM Check-in & Dinner
5:50 – 6:00 PM Opening Remarks (KIST)
6:00 – 7:00 PM Keynote Seminar
7:00 – 8:00 PM Panel Discussion
8:00 – 9:00 PM Networking
Keynote Seminar
Nick (Jun Young) Hong | XtalPi Inc. AI-enabled small molecule drug & target discovery
Panel Discussion
Anne Carpenter | Broad Institute of MIT and Harvard
Tarun Walia | Novo Nordisk
Yang (Claire) Zeng | DoriNano
John Keilty | Third Rock Ventures
Moderated by Rhie Lim | One Way Ventures
Register Here (Seats Are Limited): https://luma.com/t1e7ytv0
Sponsored by: Korea Institute of Science and Technology (KIST) & One Way Ventures
Co-hosted by: KASBP-Boston Chapter & Kendall On Air
Learning Under Uncertainty: AI Approaches for Accelerating Molecular Design and Discovery
- Topic: Learning Under Uncertainty: AI Approaches for Accelerating Molecular Design and Discovery
- Speaker: Prof. Byung-Jun Yoon, PhD (Department of Electrical and Computer Engineering, Texas A&M University)
- Date and time: Sep 23rd (Tuesday) 5:00 PM - 9:00 PM
5:00 PM - 6:00 PM: Registration and Dinner
6:00 PM - 6:15 PM: Sponsor Highlight, Introduction of KEIT
6:15 PM - 7:15 PM: Seminar and Q&A
7:30 PM - 9:00 PM: Networking
- Location: CIC Havana room (5th floor, 1 Broadway, Cambridge, MA)