I am an Artificial Intelligence researcher at Meta FAIR focused on using AI to address climate change.

I lead the OpenDAC project aimed at discovering new materials to capture carbon dioxide directly from the air. Our goal is to make Direct Air Capture (DAC) more affordable and scalable, a crucial step toward achieving net-zero emissions. I am also deeply involved in the Open Catalyst Project (OCP), focused on discovering new electrocatalysts for renewable energy storage. These catalysts will help us overcome the limitations of solar and wind power by converting excess energy into storable fuels.

I have also led the FAIR Speech Recognition team on developing large scale self-supervised and multilingual speech recognition, scaling speech recognition systems to unprecedented scales in terms of model size, dataset size and number of languages. Additionally, my work on the fastMRI project accelerated MRI scans over fourfold, which has the potential to lowering costs and improving patient experience.

From 2016 to 2018, I worked at Baidu Silicon Valley AI Lab on speech recognition, where I helped develop the Deep Speech 2 model. Before that, I built online machine learning pipelines for ad targeting at Twitter.

I hold a Master’s in Language Technologies from Carnegie Mellon University’s Language Technologies Institute, where I worked with Prof Roni Rosenfeld on applying machine learning and agent-based modeling to study the spread of infectious diseases as part of the FRED project.

My research has received widespread recognition, including features in leading publications like the Wall Street Journal, CNBC, USA Today, Reuters, Fortune, TechCrunch, and MIT Tech Review.

Anuroop Sriram

  • (2018-Present) Meta FAIR
  • (2015-2018) Baidu SVAIL
  • (2013-2015) Twitter
  • (2010-2012) M.S. CS, LTI, CMU
  • (2006-2010) B. Tech CS, IIIT-H