Motivated by impact, I seek to build products and projects that make a measurable difference. It’s not about me, it’s about the future.
PRECISE Industry Advisory Board – Bridging the Gap Between Research and Development
Press release from Penn Engineering, announcing their advisory board for their Center for Safe AI.
Move over McKinsey: This Gen Z Founder is Offering Fellow Grads an Alternative to Delayed Start Dates at Consulting Firms
A Business Insider article written about Talentifyr (now known as Agorum).
What’s next for crypto and Web3? 8 takeaways from the Penn Blockchain Conference
Quoted in an article about a conference I co-organised during my final semester at Penn.
Students Gain Skills, Experience, and Camaraderie During Spring 2022 Analytics Accelerator
Quoted in an article by the Wharton School on a project I worked on with Fox Entertainment when I took part in their ninth Analytics Accelerator. I led a team of data scientists as engagement lead to deliver 3 products: high-level analytics dashboard, conducting customer analytics analysis, strategic playbook for business development. I continued to work with them on this over the summer.
Class of 2026 Moves In
Quoted in a University of Pennsylvania article.
Solving Gender Inequality in Leadership
Since 1981, over 50% of all Bachelor’s degrees conferred in the US have been to women. In fact, in 2021, they are expected to make up 58% of the graduating class. In 1987, when my mother began her...
Study into the Optimal Variational Ansatz for Frustrated J1-J2 Heisenberg Models
Despite the exceptional developments in the utility of machine learning in studying many-body systems, their empirical successes are not well understood. We present a study into popular machine learning approaches and their respective variational ansatz, namely Jastrow wavefunctions and Restricted Boltzmann Machines. Then, by simulating Frustrated J1-J2 Heisenberg models we draw correlations between their capabilities with quantitative performance in accuracy and computational efficiency. Based on our results, we make strategic recommendations for future lines of research in using machine learning to study quantum many-body systems.
The Important Role of Student Societies in Universities
Only half of all UK graduates go on to a career related to their major. Uncovered in a survey conducted by Professor AC Grayling’s New College of the Humanities, this startling statistic highlights one of the fundamental issues in modern higher education....
Machine Learning and Quantum Physics I
An exploration of the most recent innovations in the application of machine learning towards simulating many-body quantum states. Covering the general implementations of Variational Monte Carlo methods through Jastrow wavefunctions, Restricted Boltzmann Machines, and Feed-forward Neural Networks.
Accuracy Business Cup UK Finalist
Represented King’s College London in the Accuracy Business Cup UK 2021, an international consultancy competition. Defeated several dozen teams to reach the national finals against Oxford, Cambridge, and St Andrews. Composed an M&A pitchbook and presented a corporate strategy presentation to the CFO of Pernod Ricard.