I am a mathematics and statistics student studying the theory and applications of large random combinatorial structures. Currently, I am interested in graphical models for problems in financial risk, behavioral decision making and neural networks.
I am currently TA'ing IS 445 Data Viz with Professor Turk
I am hosting a LaTeX Workshop at UIUC
For those thinking about majoring in Statistics at Berkeley I have a guide.
Teaching Assistantships / Course Staff
IS 445: Data Visualization Teaching Assistant (Fall 2025)
MATH 113: Abstract Algebra Reader (Summer 2025)
MATH 104: Real Analysis Reader (Summer 2025)
MATH 105: Multivariate Real Analysis & Measure Theory Reader (Spring 2025)
STAT 2: Introduction to Statistics Group Tutor (Spring 2025)
MATH 53: Multivariate and Vector Calculus Group Tutor (Summer 2024)
STAT 20: Introduction to Statistics and Probability Group Tutor (Spring 2024)
STAT 2: Introduction to Statistics Group Tutor (Spring 2024)
DATA C8: Foundations of Data Science Academic Intern (Fall 2023)
Course Development
Department of Mathematics Student Researcher IV (Spring 2025)
Developing Linear Algebra Education Tools for MATH 56: Linear Algebra. Funded by the "Interactive Tools for Learning Linear Algebra" Instructional Technology and Innovation Grant.
Department of Physics Course Developer (Spring 2024 - 2025)
Developer for Nobel laureate in Physics Saul Perlmutter's L&S 22: Sense & Sensibility & Science course
DSUS Modules Developer (Fall 2023)
Developed ECON 148: Data Science for Economists' forecasting lab and converted IEOR 120: Engineering Economics' homeworks into autogradable notebooks.
Ongoing Research @ Berkeley
College of Letters & Science: Research Fellow
Researching sparse graphons with Professor Steven Evans
Co-author
Co-authoring a paper on Risk Networks of Reinsurance with Elaine Shen (Berkeley Econ Ph.D. Candidate) and Thomas Rutter (Stanford Econ Ph.D. Candidate)
Researcher at UC Berkeley Consortium for Data Analytics in Risk
Investigating high-dimensional covariance estimation and factor counting under Professor Lisa R Goldberg.
Past Research Assistantships
RA for Professor Diag Davenport at the Goldman School of Public Policy. Mathematically formalizing empirical work on the pivotal voter effect.
RA for Luisa Cefala Ph.D. & Afras Sial Ph.D. Candidate at Berkeley Economics. Creating simulations and statistical estimations on earned wage accessed technology.
RA for Professor Ofer Eldar at Berkeley Law. Automating the extraction of net operating loss numbers from unstructured 10-K files.
Previous Work
Mathematics Undergraduate Student Association @ Berkeley Officer
Intern Statistician at Gilead Sciences
Summer Analyst ING Group N.V. Corporate Banking
Marketing & Recruitment Director at Berkeley Math Tournament
Finance Lead & Avionics Engineer at Space Technologies and Rocketry @ Berkeley
Education
I am currently a PhD student at UIUC under Professor Matthew Turk
University of California, Berkeley | 2022 - 2025
College of Letters & Science: Mathematics A.B. w/ Honours
College of Computing, Data Science, and Society: Statistics A.B. w/ Honours
Selected Coursework
Here's some selected coursework I've taken throughout the years.
Graduate Division Coursework (Illinois):
Graduate Division Coursework (Berkeley):
Selected Upper Division Coursework:
Lower Division Coursework:
Prior Education
I did my high school at Dubai American Academy, junior high at Webber Academy (Calgary), and primary years at Jakarta International School.