CV

PhD in Computer Science

• PhD Thesis Topic: Learning in Games via Competitive Coevolution: A Rigorous Theoretical Perspective
• Supervisors: Prof. Per Kristian Lehre, Dr. Rajesh Chitnis

MSc in Pure Mathematics

• Focus on Probability Theory, Markov Processes, Fourier Analysis, and Complex Analysis
• Master Thesis Topic: An Overview of Random Matrix Theory
• Supervisor: Prof. Igor Krasovsky

BSc in Mathematics

• Focus on Probability Theory, Mathematical Analysis, Algebra and Number Theory
• Bachelor Thesis Topic: Basic Sieve Theory and Twin Primes Conjecture
• Supervisor: Prof. Adam Harper

Summer Intern - Business & Data Analysis

• Analysed advertising market performance and consumer targeting models
• Collaborated with internal teams to deliver actionable insights for strategy

Graduate Teaching Assistant

• Assisted with teaching responsibilities, including lecturing, grading, and tutoring, for the following courses
• Evolutionary Computation (2022/23, 2023/24, 2024/25)
• Mathematical Foundations of Artificial Intelligence and Machine Learning (2022/23)
• Machine Learning and Intelligent Data Analysis (2021/22)

Undergraduate Research Intern

• Rational Points on Elliptic Curves (Dr. Chris Williams, Summer 2020)
• Stability and Sound in Ducted Flows (Dr. Ed Brambley, Summer 2019)

GitHub Profile

• Contains research codebases in Evolutionary Computation, Reinforcement Learning, and Black-box Optimisation

• IJCAI 2025 Travel Grant Award and Student Volunteer Program (IJCAI-25 Conference, Guangzhou, China)
• AAAI 2025 Student Scholar Award (AAAI Conference, Philadelphia, USA)

• NeurIPS 2024 Scholar Award (NeurIPS Conference, Vancouver, Canada)

• IEEE CIS Conference Participation Student Grant ($1,000) for attending CEC 2023 conference in Chicago, USA

• International PhD Scholarship, School of Computer Science, University of Birmingham (fully-funded)