cv

Education

  • 2022-now
    PhD
    University of Cambridge, Cambridge, UK
    • Studying mathematics arising from applications of signal and image processing to art investigation and cultural heritage.
    • Supervised by Professor Carola-Bibiane Schonlieb and part of the Cambridge Image Analysis Group.
    • Funded by the UKRI Engineering and Physical Sciences Research Council
  • 2018-2022
    Bacholer of Science in Mathematics, Bacholer of Science in Computer Science
    Duke University, Durham, NC, USA
    • Graduated magna cum laude with distinction in mathematics.
    • Collaborated with Professor Ingrid Daubechies and the international research team ARTICT on projects related to mathematics for image processing related to art investigation.
    • Completed a senior thesis titled "Dolbealt Cohomology of Non-Compact Metric Graphs" in pure mathematics under the supervision of Professor Joseph Rabinoff.

Experience

  • 2020-2022
    Ingrid Daubechies Research Assistant, ARTICT Applied Mathematics and Computer Vision Research
    Duke Unviersity
    • Develop algorithms for art analysis using high-dimensional and multimodal data from scientific imaging of art.
    • Apply and develop dimension reduction methods, variations of wavelet transforms, machine learning, and other signal processing methods.
    • Suprevised by Profossor Ingrid Daubechies and the international ARTICT team, with multiple semesters of independent study. Produced reports "Investigating Art with Image Processing and Machine Learning and Mathematics" and "Image Processing for Art Investigation," alongside funded summer research.
    • Conference Presentations - Poster presentation at Computational Approaches for Technical Imaging in Cultural Heritage ,7th IP4AI meeting, 2022. - Poster presentation at International Conference on Computational Photography 2022.
  • 2021-2022
    PRUV Fellow
    Duke University
    • Top undergrduate research fellowship at Duke University, supported by NSF.
    • Studied topics related to cohomology and combinatorics under the guidance of Professor Joseph Rabinoff.
    • Generalized results from Professor Joseph Rabinoff for Dolbeault cohomology groups to a larger set of metric graphs, leading to a senior thesis and graduation with distinciton in mathematics.
  • 2020-now
    Budapest Semesters in Mathematics
    BSM
    • Completed research course with Budapest Semesters in Mathematics, grade A+, in Fall 2020.
    • Collaborate with Dr. Attila Sali (Alfréd Rényi Institute of Mathematics) on extremal problems related to finding maximal matrices that do not contain certain forbidden submatrices; began as BSM research course (grade A+).
  • 2022
    Undergraduate Teaching Assistant
    Duke University
    • Undergraduate Teaching Assistant for COMPSCI 527 - Computer Vision, a graduate computer science course at Duke University taught by Professor Carolo Tomasi.
    • Supported students through weekly office hours and grading.
  • 2019
    Data Science Intern
    Navigen Pharmaceuticals
    • Implemented specialized clustering and cleaning algorithms to exploit unique attributes of the data, enabling new forms of analysis for millions of peptide sequences and helping laboratory scientists process data.
    • Automated portions of the data-processing pipeline and played a major role in the reduction of analysis time from two weeks to a couple of hours by writing programs using tools such as shell scripting, Python, and Java.
  • 2020-2022
    Lead Editor
    Research Africa, Duke University
    • Communicated with reviewers and publishers while managing a small team facilitate the tri-annual publication Research Africa Reviews, ISSN 2575-6990.
    • Moderated and distribute information to a group of approximately 1,500 scholars, supporting the development of the Research Africa scholarly network.
    • Previously an associate editor from 2019-2020.

Conference Presentations

  • 2022
    Computational Methods for Cultural Heritage Workshop
    • Invited talk to be given in person at the end of September at the British Museum, London, UK.
    • Introduced work related to research with ARTICT.
  • 2022
    IEEE International Conference on Computational Photography - ICCP
    Enhancing Underdrawing Visualization using Adaptive and Localized Image Analysis of Reflectance Hyperspectral Imaging Data from a 15th Century Painting
    • In-person poster presentation at the California Institute of Technology, Pasadena, California.
    • Recieved an NSF grant for travel and conference expenses.
    • Poster related to underdrawing visualization work done with ARTICT.
  • 2022
    Computational approaches for technical imaging in cultural heritage - 7th IP4AI meeting
    Enhancing Underdrawing Visualization using Adaptive and Localized Image Analysis of Reflectance Hyperspectral Imaging Data from a 15th Century Painting
    • Virtual poster presentation related to underdrawing visualization work done with ARTICT.

Honors and Awards

  • Undergraduate awards
    • Graduation with Distinction in Mathematics
    • Magna Cum Laude Latin Honors
    • PRUV Fellowship - funded research supported by the NSF
    • HackDuke 2020 Wolfram Prize
    • HackDuke 2019 Capital One Best Financial Hack
  • Earlier awards
    • Valedictorian, rank 1/550, West High School
    • National Merit Finalist and National AP Scholar

Academic Interests

  • Mathematics of information
    • I am interested in mathematics applied to data, especially images.
    • I study high-dimensional data and data-reduction problems.
  • Topics from pure mathematics
    • I enjoy learning elementary number theory in my free time.
    • I also have an interest in wavelet and multiresolution analysis arising from my work with Professor Ingrid Daubechies.

Other Interests

  • Ultimate, frisbee, disc: I enjoy playing frisbee and play on a few teams at Cambridge.
  • Cello performance and chamber music: I have been practicing and performaning cello since I was 5 years old.
  • Basketball: Duke University made me a fan.