From Academia to Industry: Life of a PDT Quantitative Researcher (Virtual Event) – 10/18, 6:00 p.m.

October 11, 2022

From Academia to Industry: Life of a PDT Quantitative Researcher (Virtual Event)

Date: Tuesday, October 18^th, 2022

Time: 6:00pm – 7:00pm EDT

RSVP link: https://pdtpartners.zoom.us/webinar/register/WN_64VQXlX6RjqRoZn9tidPhw [pdtpartners.zoom.us]

Curious about a career as a quantitative researcher? Join our moderated panel discussion with PDT researchers to learn about their journey from academia to quantitative finance. They will discuss their career path, the interesting work that challenges them, and their decision to leave academia for industry. Learn how a team of scientists, mathematicians and engineers with PhDs in Physics, Computer Science, Economics, Statistics and Electrical Engineering develop trading strategies using uniquely scientifically rigorous approaches in an open and collaborative culture.

 We will discuss how PDT and quantitative research compares to other industries, our academically driven research culture, and how researchers use the skills from their graduate program to tackle interesting and challenging problems. This will be an interactive discussion and you will hear directly from PDTers!

Our panel will include the following PDT Researchers:

Itay

Before joining PDT as a researcher, Itay was a tenured Assistant Professor within the Department of Physics and Astronomy at McMaster University as well as an Associate Faculty Member at the Perimeter Institute for Theoretical Physics. Itay received his Ph.D. in Physics from Harvard and his Bachelor in Physics from York University.

 Max

Max is an Associate Professor of Statistics in the Department of Statistics at Carnegie Mellon University since 2014. Prior to joining CMU, Max received his Ph.D. in Statistics from Stanford University, and a B.S. in Physics and Applied Mathematics at Caltech. His research prior to joining PDT focused on applied and methodological questions at the interface of machine learning and statistical inference and included collaborations in genetics, cellular biology, neuroscience, and the history of English literature.