Curious about pathways in academia? Interested in graduate schools or debating between academia and industry? We invite you to join us for our 2nd Tech Talk to hear from students as well as our incoming CS professor to share about their journeys within academia, decision processes between pursuing graduate school and industry, and much more!

Meet the Panelists:

Carolyn Anderson (incoming Wellesley CS professor); CS & Linguistics/Natural Language. She recently graduated from UMass Amherst with a PhD in Linguistics, and will be joining the Wellesley CS department as an assistant professor this fall. Her research interests lie in the intersection of Computer Science and Linguistics. She uses a variety of methods to explore how point-of-view is encoded and expressed in natural language, including Bayesian modeling, psycholinguistic experiments, and machine learning. While in grad school, she also worked on techniques for automatic speech recognition in low-resource contexts as a research intern at BBN Technologies.

Ruanqianqian (Lisa) Huang ('20); CS PhD student at UC San Diego. Lisa is a first-year Ph.D. student in Computer Science at University of California, San Diego. She aspires to build better programming languages and tools through the lens of human-computer interaction. At Wellesley College, she double-majored in Computer Science and Cognitive & Linguistic Sciences (Linguistics Concentration).

Anna Kawakami ('21) is currently a senior Computer Science major and Economics minor at Wellesley College. She was first introduced to research during my second semester at Wellesley through the Cred Lab (led by Prof. Eni Mustafaraj). Since then, she's been lucky to try research at Carnegie Mellon, Microsoft Research, and Oxford, in areas ranging from usable security and privacy to online political polarization. Her research interests are very interdisciplinary, mostly in the areas of human-computer interaction (HCI) and computational social science. She is excited to start my PhD this fall at Carnegie Mellon University's HCI or University of Michigan's Information Science program (still deciding!).

Huihan Li ('20); Master's student at Princeton. She double majored in Computer Science and Cognitive and Linguistic Sciences, and is currently pursuing a M.S.E degree in Computer Science at Princeton University, doing research in Natural Language Processing. She is planning to apply for a PhD in the same area next year.