Kate Saenko
Boston University CS Professor & AI4ALL Leader
Kate is an Associate Professor of Computer Science at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. She leads the Computer Vision and Learning Group at BU, and is the founder and co-director of the Artificial Intelligence Research (AIR) initiative. Kate received a PhD from MIT and did her postdoctoral training at UC Berkeley and Harvard. Her research interests are in the broad area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning. She was recently named one of 2020 AI 2000 Most Influential Scholars in Computer Vision by AMiner.
Boston University CS Professor & AI4ALL Leader
Kate is an Associate Professor of Computer Science at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. She leads the Computer Vision and Learning Group at BU, and is the founder and co-director of the Artificial Intelligence Research (AIR) initiative. Kate received a PhD from MIT and did her postdoctoral training at UC Berkeley and Harvard. Her research interests are in the broad area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning. She was recently named one of 2020 AI 2000 Most Influential Scholars in Computer Vision by AMiner.
Momotaz Begum
UNH Assistive Robotics + AI
Momotaz Begum is an Assistant Professor in the Computer Science
Department at the University of New Hampshire (UNH). She received her PhD on mobile robotics from the University of Waterloo, Canada. Momotaz directs the Cognitive Assistive Robotics Lab (CARL) at UNH where her research focuses on designing innovative AI and Computer vision algorithms that will enable robots to work seamlessly with humans to improve their life and productivity.
Michelle Spiliotes
Accenture Applied Intelligence
Ms. Spiliotes is a managing director in Applied Intelligence at Accenture, a leading firm in management and technology consulting. She is the Global Lead of Accenture’s Data Services business which develops market-leading insight capabilities leveraging third party data to accelerate Accenture’s platform-based solutions and fuel data-driven consulting across the enterprise. She holds an MBA from the Tuck School at Dartmouth College and an undergraduate degree in Economics from Bryn Mawr College. Michelle resides in Concord, NH with her husband, 17 year-old daughter, and 5 month-old Newfypoo puppy.
Kavya Kopparapu
GCL Founder & Harvard ‘22
Kavya was one of TIME's Most Influential Teens of 2018 and Glamour Magazine's College Woman of the year for her work on improving accessibility of medical devices using AI. She was a recipient of a 2019 Teen Choice Award for her work with her nonprofit organization, GirlsComputingLeague, focused on emerging technology education.
Christina Wadsworth
Instagram Software Engineer & Stanford CS ‘18
Christina Wadsworth is a machine learning engineer at Instagram. She works on a number of machine learning applications and the company’s effort in algorithmic fairness. She started at Instagram straight from college after graduating from Stanford with a degree in computer science. At Stanford, she published research in the algorithmic bias field.
Instagram Software Engineer & Stanford CS ‘18
Christina Wadsworth is a machine learning engineer at Instagram. She works on a number of machine learning applications and the company’s effort in algorithmic fairness. She started at Instagram straight from college after graduating from Stanford with a degree in computer science. At Stanford, she published research in the algorithmic bias field.