Joining Google X, the Moonshot Factory as an AI Resident
January 27, 2025
Joining X, the Moonshot Factory as an AI/ML Resident!
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I'm currently a PhD AI/ML Resident at Google. I am completing my PhD in the Computational Science, Engineering, and Mathematics program at the University of Texas at Austin with co-adivors Prof. Karen Willcox and Dr. Anirban Chaudhuri. My research has revolved around developing fast and data-efficient multi-fidelity surrogate models with applications in inverse problems and optimization. I have had the great privilege to be funded by and contribute to the following projects during my PhD: DARPA ASKEM & ARPA-E LOADS.
Recent Updates, Publications, and Projects
Improving Neural Network Efficiency With Multifidelity and Dimensionality Reduction Techniques
January 3, 2025
Developed projection-enabled multifidelity neural networks to reduce computational costs for a 2D aerodynamic airfoil inverse design problem.
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Multifidelity linear regression for scientific machine learning from scarce data
November 18, 2024
Proposed a multifidelity linear regression approach that significantly reduces model variance and improves robustness in data-scarce scenarios.
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Multifidelity Linear Regression (MFLR) Demo
October 20, 2024
Live interactive visualization of the surface pressure field upon a hypersonic vehicle, calculated on-the-fly by MFLR methods.
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LectureGPT - an open-source GPT-3 based AI-assistant
October 1, 2024
A LLM is fine-tuned on course lecture notes and retrieval augmented generation is used to create a conversational AI-assistant for students to ask specific questions about their course material.
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Automating Scientific Knowledge Extraction and Modeling (ASKEM)
May 1, 2024
DARPA’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) program uses AI approaches and tools to create, sustain, and enhance complex models and simulators.
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