Accelerating Drug Discovery and Clinical Trials

Description

This workshop examines new methodological foundations for accelerating drug discovery and clinical trials while preserving scientific rigor, patient safety, and evidentiary value. Advances in machine learning, causal inference, optimization, and biomedical data science are creating new opportunities to improve how therapeutic targets are selected, how compounds are prioritized, how trials are designed, and how evidence is generated across the development pipeline. The workshop will focus on methods for learning from heterogeneous biomedical and clinical data, designing adaptive and efficient studies, improving external validity, and making better decisions under uncertainty across the sequential stages of drug development.

Lightning Talks

This workshop will include lightning talks for early career researchers (including graduate students). In order to propose a lightning talk, you must first register for the workshop and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a lightning talk.

The deadline for proposing is Sunday March 12, 2028. If your proposal is accepted, you should plan to attend the event in-person.

In-Person Registration

Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.

All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.

Registration

A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.

Current fees:

• $25 for students
• $50 for non-students