PLEN-2: Donald S. Williamson: Deep Learning, Speech and the Engineering Experience

All times are Eastern Time (Toronto / New York)
Friday, 4 June, 11:00 - 12:00 (Toronto Local Time, EDT, UTC -4)
Donald S. Williamson Assistant Professor, Indiana University


The Winding Path to a Career in Academia

For some, the path to a career in academia is straight and narrow. They have clearly defined goals and objectives that guide them from undergraduate students to Ph.D. students and finally to a faculty position. For others, like me, the path to a faculty position involves many turns, since the final objectives may be somewhat blurry. In this talk, I will discuss how a career in academia is possible, even when you may be unsure of your overall goals. In particular, I will discuss how weighing different career options (e.g. industry vs academia, Master’s vs Ph.D., etc.) can be helpful to you as you navigate a career in academia. Along the way, I will discuss my engineering experiences and corresponding research efforts.

Donald Williamson is an Assistant Professor in the Department of Computer Science at Indiana University (IU), where he is also a member of the Data Science and Cognitive Science programs. He received his Ph.D. in computer science and engineering from The Ohio State University, a M.S. in electrical engineering from Drexel University and his B.E.E. from the University of Delaware. Prior to earning his Ph.D., he was a Member of the Engineering Staff at Lockheed Martin. His research interests are at the intersections of speech, human computer interaction, machine learning, and signal processing. He is the recipient of a Toyota Research Institute award, an IU Faculty Research Support Program award, and two NSF awards, including an NSF CRII and NSF CAREER award.