Degrees held

Specialization: Artificial Intelligence and Machine Learning

Thesis: The Role of Nonparametric Inference in Computational Models of Categorization and Analogy

Supervisor: Professor Tom Griffiths

Committee and readers: Professors Ryan Adams, Barbara Engelhardt, Olga Russakovsky, Tania Lombrozo

Supervisors: Professors Tom Griffiths and Bruno Olshausen

PhD in Computer Science, Princeton University (2020 – 2023)

MA in Computer Science Princeton University (2018-2020)

Supervisor: Professor Tom Griffiths

Awards & Prizes

St John’s College

Full Pass: Clinical Medicine

Valedictorian: Preclinical Medicine

College Lecturer and Tutor in Pathology

MA in Theoretical Neuroscience, University of California, Berkeley (2015-2018)

Supervisors: Professors Tom Griffiths and Bruno Olshausen.

BSc (Honours) Biological Sciences (Neuroscience), University of Edinburgh (2008 – 2011)

Valedictorian

BM BCh (Oxon) Graduate-Entry Medicine (Accelerated), University of Oxford (2011 – 2015)

  • Early Career Collaboration Enhancement Grant (Templeton World Charity Foundation, Diverse Intelligences grant, 2022)

  • Cognitive Science Fellowship (Princeton University, 2020)

  • Early Career Collaboration Enhancement Grant (Templeton World Charity Foundation, Diverse Intelligences grant, 2020)

  • Graduate Research Project Grant (Keller Center for Innovation, Princeton University, 2020)

  • Young Researcher Award (Apple; SVHRM Workshop, NeurIPS, 2019);

  • Diverse Intelligences Summer Institute Fellowship (Templeton Foundation, 2019);

  • Redwood Center Fellowship (University California, Berkeley, 2016-2017);

  • Redwood Center Fellowship (University California, Berkeley, 2015-2016);

  • Duveen Travel Scholarship (St John’s College; University of Oxford, 2015);

  • INSPIRE Fund Prize (Academy of Medical Sciences, UK, 2014);

  • NHS Award Bursary for Clinical Medicine (NHS, UK, 2013);

  • Roy Kay Scholarship for excellence in pre-clinical medicine (Keble College, University of Oxford, 2012-2014);

  • Keble Association and Faith Ivens-Franklin Study awards (Keble College, University of Oxford, 2012-2014);

  • Martin Wronker Prize for top performance in pre-clinical medicine (University of Oxford, 2013);

  • Martin Wronker Prize for top performance in pre-clinical medicine (University of Oxford, 2012);

  • Brian Johnson Prize in Pathology (University of Oxford, 2012; proxime accessit);

  • Baber Scholarship for academic merit (Keble College, University of Oxford, 2011);

  • The Neuroscience Honours Prize for Best Science Student (University of Edinburgh, 2011).

Rotations

(2021) Professor Stuart Russell (UCB): Analogy and inductive reasoning in artificial systems

(2020) Professor Yee Whye Teh (UoO): Nonparametric and hierarchical Bayesian models and approximations for finding latent relational clusterings in graphs; neutral-to-the-right stochastic processes

(2016) Professor Tom Griffiths (UCB): Extending categorization models to naturalistic feature sets using deep neural networks and crowdsourced data

(2016) Professor Bruno Olshausen (UCB): Sparse coding of EEG signals

(2015) Professor Jose Carmena (UCB): State space dynamics and learning in primate BMI data

(2015) Professor Robert Knight (UCB): Encoding and decoding models of EEG responses to speech

(2015) Professor Tim Behrens (UoO): Modeling the general learning rate of the brain

(2015) Professor Kevin Burrage (UoO): Introduction to neural networks and stochastic models

(2011) Professor Richard Morris (UoE): Schemas and memory consolidation

Teaching

(2019) Assistant in Instruction}, Computational Models of Cognition (COS/PSY 360, PU)

(2016) Graduate Student Instructor}, Computational Models of Cognition (Cogsci 131, UCB)

(2013-15) Tutor in Pathology and College Lecturer (UoO)