Resume

Professional Profile

Third year PhD student in the Department of Statistics and Applied Probability at the University of California Santa Barbara. Graduate of Lancaster University with a MSc in Quantitative Finance and a BSc in Mathematics with Statistics.

Research Interests

My research interests are orientated broadly towards financial mathematics, environmental science and computational statistics with a specific focus on the stochastic management of energy markets and natural resources. Currently, I am conducting research into the multi-period stochastic mangement of California ground water resources under the supervision of Dr Michael Ludkovski.

Education

2022 - Present
UC Santa Barbara

PhD Statistics and Applied Probability

Topics Studied: (1) Probability Theory, (2) Statistical Theory, (3) Machine Learning, (4) Energy Finance, (5) Financial Models, (6) Advanced Time Series Methods, (7) Advanced Statistical Methods, (8) Bayesian Analysis, (9) High-Frequency Trading (10) Blockastics.

2020 - 2021 Lancaster University

MSc Quantitative Finance (Distinction)

Supervisors: Dr George Wang (Lancaster University), Professor Ian D’Souza (NYU Stern)

Dissertation Title: Measuring and Forecasting Mutual Fund Survival Capacity using Machine Learning Algorithms.

Topics Studied: (1) Foundations in Financial Markets, (2) Derivatives Pricing, (3) Financial Econometrics, (4) Market Risk Forecasting and Control, (5) Stochastic Calculus for Finance, (6) Financial Stochastic Processes, (7) Statistical Methods for Financial and Economic Applications, (8) Assessing Financial Risk: Extreme Value Methods, (9) Spreadsheet Modelling for Quantitative Finance and (10) Forecasting.

2013 - 2018 Lancaster University

BSc Mathematics with Statistics (First Class Honors)

Topics Studied: (1) Metric Spaces, (2) Differential Equations, (3) Combinatorics, (4) Likelihood Inference, (5) Bayesian Inference, (6) Statistical Modelling, (7) Time Series Analysis, (8) Real Analysis, (9) Complex Analysis, (10) Linear Algebra, (11) Groups and Rings, (12) Probability and (13) Statistics.

Working Papers

  1. Measuring and Forecasting Mutual Fund Survivial Capacity using Machine Learning Algorithms, with Dr George Wang (Lancaster University Management School) and Ian D’Souza (NYU Stern).

Employment

2025 - Present
UC Santa Barbara

Graduate Student Researcher

2022 - 2024
UC Santa Barbara

Teaching Assistant / Teaching Associate

2021 - 2022 Lancaster University

Research Assistant

Teaching

  1. PSTAT10 Introduction to Data Science

  2. PSTAT175 Survival Analysis

  3. PSTAT8 Introduction to Mathematical Proof

  4. PSTAT274 Time Series Analysis

  5. PSTAT5LS Life Science Statistics

  6. PSTAT120C Probability and Statistics

  7. PSTAT5A Understanding Data

Awards

  • Award for Best Academic Performance 2020/21

    Awarded in recognition of exceptional academic performance in obtaining the highest GPA on the MSc Quantitative Finance programme at Lancaster University in the 2020/21 academic year.

  • Award for Best Dissertation Results 2020/21

    Awarded in recognition of obtaining the highest dissertation results on the MSc Quantitative Finance programme at Lancaster University in the 2020/21 academic year.

  • Lancaster Gold Award

    Awarded in recognition of skills obtained in activities outside of academia whilst at university. These include: (1) Digital Skills Certificate, (2) Charity Work, (3) Work Experience, and (4) Student Academic Representative.

For details of my project work please see my projects page. To download a pdf copy of my full academic resume please click here.

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