Priya Donti, Executive Director of Climate Change AI and Assistant Professor at MIT
Priya is the Executive Director of Climate Change AI (CCAI), a global non-profit initiative to catalyze impactful work at the intersection of climate change and machine learning. She is also an Assistant Professor at MIT EECS. Priya's research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, my work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Gabriela de Queiroz, Principal Cloud Advocate, Microsoft Gabriela leads and manages the Global AI/ML/Data team in Education Advocacy. Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations. Gabriela is the founder of AI Inclusive, a global organization that is helping increase the representation and participation of gender minorities in Artificial Intelligence. She is also the founder of R-Ladies, a worldwide organization for promoting diversity in the R community with more than 200 chapters in 55+ countries. Marisa Torres, Bioinformatics Lead, Lawrence Livermore National Laboratory (LLNL) Marisa designs, implements, and integrates data in relational databases, provides software engineering support for DNA signature discovery, and responds to internal and external customer requests for signature analysis. She has provided signature development and bioinformatics analysis for the Environmental Protection Agency and the National Bio-Forensics Analysis Center. In 2000, Marisa designed DNA signatures that were promoted for use in the BASIS program. She has taken the lead on signature erosion checking, which during the most recent DHS proposal cycle was recognized as important for continued reliable detection of pathogens, and she supports public health and biosecurity customers combining her versatile skill set of software engineering and biology background. Jennifer Pan, Associate Professor, Stanford University Jennifer’s research focuses on political communication and authoritarian politics. She uses experimental and computational methods with large-scale datasets on political activity in China and other authoritarian regimes to answer questions about how autocrats perpetuate their rule, how political censorship, propaganda, and information manipulation work in the digital age, and how preference and behaviors are shaped as a result. Keep checking back, as we will be announcing more speakers in the coming weeks. Comments are closed.
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