I am a Research Scientist at Fundamental AI Research (FAIR) at Meta AI working on deep neural networks and its applications in climate change. My current focus is on electrocatalyst discovery for renewable energy storage as part of the Open Catalyst Project . Renewable energy sources (like solar, wind) are great but intermittent – the sun shines only during the day. During the evening, we fall back on fossil fuels. To avoid this, we need to discover cheap, scalable ways of converting electricity from renewa
Before this, I was a Computer Science PhD student at Georgia Tech, advised by Dhruv Batra , and working closely with Devi Parikh , where I focused on developing artificial agents that can see (computer vision), talk (language modeling), and act (reinforcement learning) .
During my PhD, I interned thrice at Facebook AI Research — Summer 2017 and Spring 2018 at Menlo Park, working with Georgia Gkioxari , Devi Parikh and Dhruv Batra on training embodied agents for navigation and question-answering in simulated environments (see embodiedqa.org ), and Summer 2018 at Montréal, working with Mike Rabbat and Joelle Pineau on communication protocols in multi-agent reinforcement learning . In 2019, I interned at DeepMind in London working on grounded language learning with Felix Hill
Georgia Gkioxari