CV

Employment

AI Research Scientist, Intel Labs, USA (2024-present)

Staff scientist with Multimodal Cognitive AI group under PI Vasudev Lal.

Research Highlights

• Won the Scholar Award for highest academic output in first year at Intel Labs.
• First author on two new projects in first five months.
• Received Outstanding Paper Award at ACL 2024 for work on measuring latent values and opinions in LLMs.

Engineering Highlights

• Scaled foundation model training at 1K Gaudi 2 card scale in Intel Tiber AI Cloud.
• Solo developed optimized inference harness for generating >10B tokens on 128-card HPU cluster.
• Contributed to development of novel multimodal generative models.

Postdoctoral Research Associate, Princeton University, NJ, USA (2022-2024)

Postdoctoral researcher at Data Driven Social Science Initiative working with Professor Brandon Stewart.

• Published statistical framework for using LLMs for data annotation without introducing bias.
• Gave workshops on LLMs and intro deep learning to generalist audiences.
• Developed LLM agent-based tool for improving survey research.

Predoctoral Research Fellow, University College London, London, UK (2021-2022)

Predoctoral researcher on UKRI-funded MENMOPE project led by Professor Lucy Barnes.

Quantitative Analyst, SBI Group, Tokyo, Japan (2016-2018)

Data scientist/analyst at SBI Japannext, Japan’s largest PTS.

• Automated reporting for stock market clients from terabyte-scale trading engine data.
• Provided business intelligence for internal and external stakeholders using ML and econometric forecasting tools.

Education

DPhil University of Oxford, 2022

Wrote doctoral thesis on applications of RL and NLP in political campaigns:

1. Conducted human subjects research demonstrating that offline RL could be used to improve the effect of targeted political advertisements.
2. Designed and trained multimodal transformer-based encoder for generating image-and-text embeddings from political Facebook ads.
3. Compared structured and unstructured NLP tools for document retrieval of economic narratives in newspaper corpora.

Teaching: Python, statistics and HPCs to social scientists.

MSc University of Oxford, 2019

Focused on quantitative/statistical methods for causal inference and NLP.

BA University of Oxford, 2015

Read Philosophy, Politics and Economics at Merton College, Oxford.

Skills

• Languages: Python, R, bash
• Distributed training and inference:
  • Scaled training to >1k A100-equivalents
  • Optimized inference for >10B token generation
• ML/AIOps: kubernetes, ray, wandb, SLURM etc.
• Multimodal AI (model customization, development, training)