Preethi Lahoti
Research Scientist, Google Research
Machine Learning | ML Fairness | Responsible AI
About Me
I am a Research Scientist at Google Research, based in Zurich, Switzerland. I recently submitted my PhD thesis in Computer Science (Machine Learning) at the Max Planck Institute for Informatics, Germany, where I was very fortunate to be jointly advised by Prof. Gerhard Weikum and Prof. Krishna P. Gummadi. I earned my M.Sc. (honors) in Machine Learning at Aalto University, Finland, and B.Tech. (distinction) in Computer Science from Osmania University, India.
During my studies I had the opportunity to do research internships at Google Brain (Mountain View, U.S.A), People + AI Research (PAIR) at Google Research (Zurich, Switzerland) and Bell Labs (Dublin, Ireland). Previously, I was a software engineer at Microsoft (India). In the 3 exciting years at Microsoft, I worked in various roles revolving around data, including data mining, data analytics, business intelligence, search engine technology and have learnt various aspects of building large and scalable systems.
Research Vision
My vision is a future where ML systems are reliable, robust, equitable and work for everyone. My research focuses on enabling Responsible AI by developing new models and methods that detect, prevent and alleviate undesirable behaviors of ML by accounting for normative goals including fairness, robustness, trust and safety. I have been very fortunate to have collaborated with fantastic mentors in this space, including Gerhard Weikum, Krishna Gummadi, Alex Beutel, Jilin Chen, Fernando Diaz, Asia Biega, and Aris Gionis.
Recent News
March 2022 - I will be joining Google Research as a Research Scientist starting April! Looking forward to the next chapter in life!
November 2021 - I submitted my doctoral thesis on "Operationalizing Fairness for Responsible Machine Learning"!
September 2021 - Our paper "Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning" is accepted at ICDM 2021.
August 2021 - Our paper "Accounting for Model Uncertainty in Algorithmic Discrimination" is accepted at AIES 2021.
June 2021 - I will be spending my summer as a research intern at People + AI Research (PAIR) at Google Research.