CV

DPhil

University of Oxford, Wolfson College

Astrophysics

MSc

University of Oxford, Pembroke College

Mathematical and Theoretical Physics

B.A.

Boston University

Physics (with honors) & Mathematics

Dynamical Modelling of Galactic Kinematics using Neural Networks

University of Oxford

• Built a convolutional neural network and multi-layer perceptron machine learning model that predicts galaxy kinematics to within 1% accuracy
• Sped up the running time of the architecture over previous models by a factor of 300
• Decreased training set generation time by a factor of 20
• Skills: PyTorch, GPU Cluster, Machine Learning

Recovering the Line of Sight Velocity Distribution of Early-Type Galaxies

University of Oxford

• Initialized and ran N-body simulations mimicking early-type galaxies using a super computer
• Created mock photometry / integral field observations of the galaxies with realistic noise and systematics
• Developed a set of community standards for measuring galaxy kinematics
• Skills: Statistics, Super Computing, Simulations, Jupyter

Consultant

Oxford Strategy Group

• Studied different data monetization strategies for a major online media company
• Designed, issued, and analyzed a survey that studied customer preferences
• Skills: MS Office, Market Research, Data Monetization

Measuring the Supermassive Black Hole in M87

University of Oxford

• Determined the mass of the supermassive black hole in M87 to be 25% larger than previously believed
• Pioneered a new technique to measure the stellar density of galaxies, revealing a discrepancy with previous assumptions of a factor of 2
• Developed new modeling techniques allowing for realistic dynamical modeling of galaxy kinematics
• Skills: MCMC, Python, Differential Equations, LaTeX

Quasi-Normal Modes and Black Holes

University of Oxford

• Modified existing mathematical methods to study a black hole quasinormal-mode toy model
• Numerically solved and created visualizations of quasinormal modes
• Skills: Mathematica, Data Visualization, Special Functions

Undergraduate Learning Assistant

Boston University

• Ran weekly discussion sections with a graduate teaching fellow for 5 undergraduate physics courses
• Wrote weekly discussion worksheets used by ~40 students
• Hosted weekly office hours and end-of-term review sessions
• Conducted and evaluated interviews with learning assistant applicants

Peer Mentor

Boston University

• Mentored 7 physics and mathematics undergraduate students
• Helped students create short- and long-term goals and implemented a plan to achieve them
• Evaluated academic progress and identified new habits and resources that improved performance

Cosmos and Canvas: Using Data Visualization to Explore and Communicate Your Science

Astrophysics Department, University of Oxford

Organized and attended a one-day workshop (December 2022) teaching astrophysicists how to take raw astrophysical observations and colorize them for public outreach and improved visual literacy.

Dynamical Modelling of Galactic Kinematics using Neural Networks (oral)

Machine Learning for Astrophysics 2024 Conference

Dynamical Modelling of Galactic Kinematics using Neural Networks (invited talk)

Tsinghua University

Dynamical Modelling of Galactic Kinematics using Neural Networks (invited talk)

Shanghai Astronomical Observatory

Dynamical Modelling of Galactic Kinematics using Neural Networks (invited talk)

Shanghai Jiaotong University

Dynamical Modelling of Galactic Kinematics using Neural Networks (invited talk)

Nanjing University

Revealing the Stellar Center of M87 with Integral Field Spectroscopy: Effects on the Black Hole Mass (oral)

European Astronomical Society Annual Meeting

Dynamical Modelling of Galactic Kinematics with Neural Networks (poster)

European Astronomical Society Annual Meeting

Recovering the Line of Sight Velocity Distribution and Mass Distribution in Simulated Early-Type Galaxies (poster)

European Astronomical Society Annual Meeting

Anchoring Black Hole Relations in the Local Universe: The Case of M87 (poster)

National Astronomy Meeting