CV


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EDUCATION

University of Cambridge

PhD AI for Environmental Risks, Oct 2024 - 2027 (expected)
Large Language Models for Decision-Making Under Risk in Climate Science
MRes + PhD AI for Environmental Risks, Oct 2023 - 2024
Thesis: Aligning Language Model Evaluators with Human Judgement

Imperial College London

MSc Statistics, Oct 2020 - Sep 2021
Thesis: A Novel Method of Tuning and Comparing Causal Discovery Algorithms on Real Data

The University of Edinburgh

BSc Computer Science and Mathematics, Sep 2016 - Jun 2020
Thesis: Investigating the Respiratory Rate Response to PM2.5 Exposure in Asthmatic Adolescents

RESEARCH + WORK EXPERIENCE

Supervised Program for Alignment Research

Student Researcher, Oct 2023 - Jun 2024

Cambridge AI Safety Hub

Intro Fellowship Facilitator, Oct 2023 - Dec 2023

The University of Edinburgh

Research Assistant, Sep 2021 - Jun 2023

TradingHub

SE Intern, Jun 2020 - Aug 2020

DataGrasp

Data Scientist, Jan 2020 - Apr 2020

Royal Bank of Scotland

SE Intern, Jun 2019 - Aug 2019

The University of Edinburgh

Undergraduate Researcher, Sep 2018 - Dec 2018

PREPRINTS AND PUBLICATIONS

Walter Laurito, Sharan Maiya, Gregoire Dhimoila, Owen Ho Wan Yeung, and Kaarel Hanni. "Cluster-Norm for Unsupervised Probing of Knowledge". ICML Workshop on Mechanistic Interpretability, 2024, https://openreview.net/forum?id=kXRYju6Jtt.

D K Arvind and S Maiya. "Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics". arXiv, 2022, http://arxiv.org/abs/2301.06300.

D K Arvind, S Maiya, and P Sedeno. "Identifying causal relationships in time series data from a pair of wearable sensors". IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks, 2021, https://doi.org/10.1109/BSN51625.2021.9507030.

A Miller, D Miron, and S Maiya."GraphDraw - A Tool for the Representation of Graphs Using Inherent Symmetry". In Proceedings of The First International Conference on Symmetry, 2018, https://doi.org/10.3390/proceedings2010086.