VDS 2022
SPEAKERS
Aishwarya Srinivasan
Aishwarya Srinivasan is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.
Dr. Cecilia Aragon
Dr. Cecilia Aragon is an award-winning author, airshow pilot, and the first Latina full professor in the College of Engineering at the University of Washington in Seattle.
Dr. Adèle Helena Ribeiro
Dr. Adèle Helena Ribeiro is a highlighted DAAD Postdoc-NeT-AI Fellowship recipient and Postdoctoral Research Scientist in the Causal Artificial Intelligence (Causal AI) Laboratory.
Kade Crockford
Kade Crockford is the director of the Technology for Liberty Program at the ACLU of Massachusetts. Recently, their work has expanded to include open data projects that aim to harness the power of digital technologies to reform the criminal legal system in Massachusetts, towards the end of shifting resources from police and prisons to social services and public health.
Dr. Hala Mostafa
Dr. Hala Mostafa is the Senior Manager/Lead of Advanced Learning and Analytics Team at Raytheon Technologies Research Center. For the past 7 years, she has been leading ML/data analytics projects where she applies machine learning to help her corporation's diverse business units gain insights and solve problems in areas like contract pricing, manufacturing, operations and predictive maintenance.
Dr. Lisa Friedland
Dr. Lisa Friedland is a computer scientist who has used methods from data mining, machine learning, network science, and computational social science to analyze large data sets. After leaving UMass, she worked as a researcher at Northeastern University's Network Scientist Institute on projects involving human mobility patterns.
PANELISTS
Purva Pruthi
Purva Pruthi is currently an AI resident at Google X, The Moonshot Factory where she is working on applying causal inference techniques in solving the most challenging real-world problems. She is a fourth-year Ph.D. Candidate at the University of Massachusetts, Amherst.
Shruti Jadon
Shruti Jadon is currently leading ML research at CTO Org of Juniper Networks on meta-learning and time series forecasting. She has also worked as Visiting Researcher at Radiology lab of Rhode Island Hospital and BIOS Lab of John Hopkins University for research on medical image segmentation.
SPONSORS
