I lead the mid-training team at Reflection AI, focusing on science of data and scaling.
Previously I was a Principal Researcher at Microsoft Research and on rotation at OpenAI, working on "Physics of Large Language Models".
I have a Ph.D. in Computer Engineering from UC San Diegor. My thesis focused on algorithms for the automated design of efficient and robust Deep Learning models in the vision and NLP domains. Please see the "Research" tab for an overview of my research interests. My research has been awarded the 2019 Qualcomm Innovation Fellowship.
Phi-3 is announced! The smallest phi-3-mini, 3.8B model is comparable to GPT-3.5 and beats Llama-3 8B on many benchmarks. Technical Report, HF Model
Gave a talk on our Phi series of language models at the 2023 NeurIPS Large Language Model Efficiency Challenge. (link to the video on NeurIPS website)
Phi-2 blog post is out: Phi-2: The surprising power of small language models
Phi-2, our most recent small language model, was announced by Satya Nadella at Microsoft Ignite 2023.