I am currently focused on large random combinatorial structures, clustering and flows algorithms on complex networks. I also have interests in financial risk, information retrival problems in automated deduction, and statistical education.
I am currently a graduate student instructor for IS 445 Data Viz taught by my adviser Professor Matt Turk.
I am one of the test organizers for the Intercollegiate Math Tournament (registration open!).
For those thinking about majoring in Statistics at Berkeley I have a guide.
Friends & MentorsProfessor Steve Evans, Professor Andrew Bray, Professor Andrés R. Vindas Meléndez, Professor Lisa Goldberg, Professor Khalilah Beal-Uribe, Professor Emeritus Peter Zvengrowski, Dr. Winston Yin, Professor Matthew Turk, Aayna, Manahil, Arnav, Sophie, Mark, Yilin, Yiming, Cindy
Al Madam, Sharjah
Teaching Assistantships / Course Staff
IS 445: Data Visualization Graduate Student Instructor (Fall 2025)
MATH 113: Abstract Algebra Reader ( Summer 2025 )
MATH 105: Multivariate Real Analysis & Measure Theory Reader (Spring 2025)
STAT 2: Introduction to Statistics Study Center Group Tutor (Spring 2025)
MATH 53: Multivariate and Vector Calculus Study Center Group Tutor (Summer 2024)
STAT 20: Introduction to Statistics and Probability Study Center Group Tutor (Spring 2024)
STAT 2: Introduction to Statistics Study Center 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, Prototype (here). 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's data science lab on bad science.
DSUS Modules Developer (Fall 2023)
Developed ECON 148: Data Science for Economists' Prophet forecasting lab and converted IEOR 120: Engineering Economics' homeworks into autogradable notebooks.
Current Research
UC Berkeley College of Letters & Science: Research Fellow
Researching sparse graphons previously advised by Professor Steven Evans (Math/Stat, Berkeley). Currently collaborating with Ph.D. candidate Siddhi Kanta Mishra (IEMS, UCF), and Professor Jialie "Jerry" Shen (CS, SGUL) on applications of graphons towards information flow problems in neural networks.
Co-author
Co-authoring a paper on Risk Networks of Reinsurance with Elaine Shen Ph.D. Candidate at Berkeley Economics and Thomas Rutter Ph.D. Candidate at Stanford Economics.
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 Professor Luisa Cefala & 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
Officer at Berkeley's Mathematics Undergraduate Student Association
Summer Camp Instructor at Berkeley's department of Industrial Engineering and Operations Research
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 Illinois Urbana-Champaign | 2025 - 2030
School of Information Sciences: PhD Information Sciences, Statistics Minor
College of Liberal Arts & Sciences: MS Applied Mathematics: Algorithms & Optimization
University of California, Berkeley | 2022 - 2025
College of Letters & Science: Mathematics AB Honours
College of Computing, Data Science & Society: Statistics AB 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.