Samuel Crew

Department of Physics
National Tsing Hua University
Hsinchu
Taiwan
samuel (dot) c (dot) crew (at) gmail (dot) com

Google Scholar

Research Interests

I’m an applied mathematician/physicist with broad interests across the physical sciences. My main expertise lie in geometry, asymptotic analysis and numerical methods. Recently, I’ve been particularly interested in problems at the intersection of machine learning and quantum computing: both using ML to study quantum systems and physical approaches to machine learning.

I’ve worked on a wide range of topics in classical and quantum physics—from water waves to holography, quantum field theory to knot theory, and mirror symmetry to lensing in radio astronomy, to give a few examples. I’ve been fortunate to work as a postdoc in mathematics, physics, and computer science departments, and I’m happiest uncovering geometric structures and applying sophisticated mathematical tools to problems that lie across traditional subject divides.

Some more specific examples of past and present research interests include:

I also enjoy collaborating with industry. I have worked as a machine learning / data science consultant and worked with Rigetti Computing during my time at Imperial College London.

A picture of instanton moduli space

Publications and Preprints

Published in: Journal of High Energy Physics (JHEP), ANZIAM Journal, Communications in Number Theory and Physics, SIAM Journal on Applied Mathematics, Studies in Applied Mathematics and Journal of Fluid Mechanics.


Talks and lectures

2025

2024

2023

2022

2021

pre 2021


Teaching

A supervision with me as depicted by a student (artist credit @quantumcutie1228)

NTHU 2025

RUB 2023-2024

Led and assessed two student seminar series.

Bath 2021-2022

Co-lectured 2nd year mathematical methods course with Phil Trinh.

Cambridge 2016-2021

Small group teaching (15-20 students) and student supervisions (2-3 students). Example classes and assessing student work.

Student reference letters available.


Events

* - served as organiser.


CV

I completed my PhD at DAMTP and Trinity college, Cambridge UK in 2021. I studied geometric aspects of quantum field theory and I was supervised by Nick Dorey. Before Cambridge, I was an undergraduate at Lincoln college, Oxford where I studied first for a BA in mathematics (2012-2015) and then an MMathPhys in mathematical and theoretical physics (2015-2016).

Following my PhD, I worked with Phil Trinh as a postdoc in the department of mathematical sciences at the University of Bath. I learnt about resurgence and Borel resummation and worked on a variety of problems in quantum and classical physics and geometry. After my first postdoc, I moved to Bochum, Germany in January 23 to work with Michael Walter and Giulio Malavolta in the computer science department of Ruhr University Bochum and the Max Planck institute for security and data privacy. I worked on a range of exciting problems in quantum information theory and quantum cryptography. I then moved to the mathematics department of Imperial College London where I worked with Cris Salvi and Jack Jacquier on path signatures and quantum machine learning.

I am currently a postdoc in the physics department at National Tsing Hua University, Taiwan mentored by Po-Yao Chang.


Other

Music

Cycling and Running

Pictures

Cambridge - London - Bristol - Okinawa - Bochum - Tokyo - Taipei

Data science

I sometimes work as an AI/ML consultant for Captivate Analytics
Updated: 14/08/25