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Ph.D.

• Thesis: "Stochastic Foundations for Single-Cell RNA Sequencing"
• Academic laboratory developing end-to-end, physically informed bioinformatics methods
  • Developing physical theory and scalable stochastic methods for multi-modal single-cell sequencing data
  • Organizing cross-disciplinary, multi-institution collaborations in physics and machine learning
  • Building, training, and leading a subgroup dedicated to addressing gaps in current methods

B.S./B.A.

• Bachelor of Science in Chemical and Biomolecular Engineering
• Bachelor of Arts in Chemistry and Asian Studies

Senior Scientist, Computational Biology

• Startup applying hibernation biology discoveries to improve human health
  • Designing computational methods for non-model organism omics

Data Sciences Co-op

• Pharmaceutical startup leveraging transcriptomic analyses to develop therapeutics
  • Designed methods to decipher transcriptional mechanisms of disease states for drug discovery
  • Integrated analyses into the company’s cloud computational pipeline for large patient datasets

Research Intern

• Academic laboratory synthesizing experiments and biophysics to decipher cell biology
  • Designed stochastic simulations and statistical analyses of microbial gene regulation
  • Organized a collaboration at the Xu Laboratory, Shanghai Jiao Tong University, to develop algorithms

NSF Research Experience for Undergraduates Intern

• Academic laboratory developing virus-like particles as a biotechnology platform
  • Designed, constructed, and modeled a reactor to investigate flow kinetics of encapsulated enzymes

Future Chemists International Summer Camp Participant

• Undergraduate-level research and cultural immersion program
  • Synthesized novel palladium nanoparticles and monitored their catalytic activity by gas chromatography

Research Assistant

• Academic laboratory studying nanoparticle applications
  • Synthesized, functionalized, and analyzed gold nanoparticles
  • Closely assisted a graduate student mentor in optimizing synthetic conditions

Welch Summer Scholar Program Participant

• High school-level chemistry research program across the University of Texas system
  • Synthesized medical carbon fiber precursors, characterized and presented their performance

biVI (Python)

• Physically motivated variational autoencoder

Monod (Python)

• Mechanistic transcriptional inference from sequencing data

protaccel (Python)

• Trajectory inference from protein/RNA datasets

Transcriptional elongation simulator (MATLAB)

• Stochastic simulation for visualization and estimation of transcriptional kinetics

• American Physical Society March Meeting
  • "Interpretable and tractable probabilistic models for single-cell RNA sequencing", talk

• Theoretical Biophysics podcast
  • "Modeling bursty transcription", episode
• Chen Neuroscience Research Building Weekly Seminar Series
  • "Parameterizing models of stochastic transcriptional dynamics with snapshot scRNA-seq data", seminar
• Cold Spring Harbor Laboratory Systems Biology 2022
  • "Parameterizing models of stochastic transcriptional dynamics with snapshot scRNA-seq data", talk

• Caltech Chemistry and Chemical Engineering Seminar Day
  • "How should we think about cells?", seminar
• Gordon Research Conference on Stochastic Physics in Biology 2021
  • "Markov models of RNA transcription and sequencing", poster
• Society for Industrial and Applied Mathematics Dynamical Systems 2021
  • "Modular and interpretable models of transcriptional noise and splicing", poster
• Biophysical Society 2021 Annual Meeting
  • "Analysis of Length Biases in Single-Cell RNA Sequencing of Unspliced mRNA by Markov Modeling", poster

• Cold Spring Harbor Laboratory Genome Informatics 2020
  • "Analysis of Length Biases in Single-Cell RNA Sequencing of Unspliced mRNA by Markov Modeling", poster
• Biophysical Society 2020 Annual Meeting
  • "Semi-Analytical Methods for RNA Burst Models", poster

• Caltech Graduate Research Spotlight
  • "RNA velocity and protein acceleration from multimodal single-cell experiments", poster

• q-bio 2018 Conference
  • "Simulating and Fitting Stochastic Models of RNA Transcription via the Gillespie Algorithm", poster
• q-bio 2018 Summer School

• Rice Engineering Design Showcase
  • "Cow Manure to Methanol by Hydrothermal Gasification"
• Akers Senior Design Competition
  • "Cow Manure to Methanol by Hydrothermal Gasification"

• Indiana University Materials Symposium
  • "A Flow Reactor Using Catalytic Bulk-Assembled Virus-Like Particles", poster

Teaching Assistant

• Graded graduate-level chemical engineering thermodynamics courses

Technical Intern

• Researched and proposed solutions for an oral history archive’s website and storage
• Created a video for university’s celebration of Asian alumni attended by nearly 200 people

Teaching Assistant

• Developed rubrics for and graded an upper-level bioengineering numerical methods course

Teaching Assistant

• Graded a sophomore-level Organic Chemistry course

Operations Director/Secretary

• Managed PSA and promotion rotation of an FM college radio station
• Ensured compliance with FCC regulations
• Developed budgetary documentation and secured grant funds up to $25,000
• Hosted a musique concrète radio show

Proofreader

• Proofread public domain e-books for Distributed Proofreaders, a non-profit project that produces texts for Project Gutenberg

• Caltech Graduate Research Spotlight Second Prize

• Rice Engineers Week Student Competition Prize Winner

• Rice Center for Engineering Leadership Liftoff Winner

• Dwane Rivers Memorial Scholarship in Chemical Engineering
• Undergraduate Asian Studies Internship Award for summer internship in Asia

• Louis J. Walsh Scholarship in Engineering
• T.W. Moore Scholarship, awarded to 5 juniors with highest GPAs in department

• Rice University President's Honor Roll, 6 out of 8 semesters at Rice University