This is a reminder for today's seminar of the HAS Online Seminar Series
by the recipient of the 2021 Pierskalla Best Paper Award
, Dr. Andrew Li
, from Carnegie Mellon University. The details of the seminar are below. Click here
to register for the event!Optimization in the Race to a Liquid Biopsy
Friday, April 22, 1-2pm ET (10-11 am PT)Abstract:
An accurate blood test for early-stage cancer (a "liquid biopsy") is arguably the most important open problem in oncology, and the race to a solution is tantalizingly close to the finish. In this talk, we will discuss the state of this race as of 2022, particularly how technology and data have enabled progress so far, and how optimization will play a role in reaching the finish line.
Along the way, we will address a set of problems that occur in the development of liquid biopsies via the lens of Active Sequential Hypothesis Testing (ASHT), wherein a learner seeks to identify a true hypothesis using the fewest number of actions. Motivated by applications in which the number of hypotheses or actions is massive (such as our own), we propose efficient (greedy, in fact) algorithms and provide the first approximation guarantees for ASHT. Our guarantees are independent of the number of actions and logarithmic in the number of hypotheses. We numerically evaluate the performance of our algorithms using both synthetic and real-world DNA mutation data, demonstrating that our algorithms drastically outperform previous heuristics.Bio:
Dr. Andrew Li is an Assistant Professor of Operations Research, and the BP Junior Faculty Chair, at CMU’s Tepper School of Business. He completed his PhD in the Operations Research Center at MIT. His research interests are in statistics, optimization, and machine learning, with applications to operations management and medicine.
Feel free to forward it to anyone who could be interested among your colleagues and student groups.
HAS Online Seminar Organization Team
Sanjay Mehrotra (Northwestern)
Sait Tunc (Virginia Tech)
Qiushi Chen (Penn State)