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Education
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2021 MS in Data Science (GPA 4.0)
Harvard University -
2017 BS in Computer Science & Mathematics – Class Valedictorian
The University of Edinburgh
Work Experience
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2021–Present Senior AI Researcher, Investment AI Group
BlackRock, New York, NY - ML & NLP research for alpha generation, price discovery and transaction-cost models.
- Deployed real-time corporate-bond pricing model using Gradient Boosting Machines (24 % error reduction).
- Built enterprise NLP pipelines for extraction of thematic and sentiment signals from unstructured sources (news, SEC filings etc.)
- Developed multi-agent GenAI framework aiding traders and portfolio managers to perform data analysis and research.
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2020–2021 Data Scientist
Intelligencia AI, Cambridge, MA - Developed NLP/ML models to surface innovation trends in clinical research.
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2017–2019 Analyst, Aladdin Business
BlackRock, Edinburgh, UK - Advised portfolio managers on risk modelling, optimisation and analytics workflows.
Research Experience
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2020–2021 Research Assistant
Harvard Data-to-Actionable Knowledge Lab - Investigated scalable uncertainty-estimation methods for deep learning in safety-critical domains.
Teaching
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2020 Teaching Fellow
Harvard University - Taught the graduate class on Advanced Scientific Computing - Stochastic Methods for Data Analysis,Inference and Optimization.
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2024 Teaching Fellow
Columbia University - Delivered lectures on practical ML/NLP applications for financial markets.
Prizes
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2017 Class Medal — BS CS & Math
University of Edinburgh - Awarded to top overall student across the four-year programme.
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2017 Kevin Clarke Memorial Prize
University of Edinburgh - Highest academic performance in final year of degree.
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2016 Google Prize — Best System Design Project
University of Edinburgh - Our team was selected among 30 other teams for developing an autonomous robot which achieved the greatest performance in the Robocup Competition.