Dasheng Bi


B.A., University of California, Berkeley August 2019-Expected May 2023

  • Computer Science, Mathematics, Molecular and Cell Biology-Neurobiology
  • GPA: 4.000, Honors to Date
  • Selected List of Taken Courses
    Computer Science Mathematics Natural Sciences
    COMPSCI 61 A / B / C
    (Program/Data/Machine Structures)
    MATH H53
    (Honors Multivariable Calculus)
    PHYSICS 5 A / B / BL
    (Mechanics and SR/EM and Optics/Lab)
    COMPSCI 70
    (Discrete Math and Probability Theory)
    MATH 54
    (Linear Algebra and Differential Equations)
    CHEM 3 A / B / AL / BL
    (Organic Chemistry with Lab)
    EECS 16B
    (Linear Algebra, Circuits)
    MATH H104
    (Honors Real Analysis)
    MCELLBI 102
    (Biochemistry, Molecular Biology)
    COMPSCI 188
    (Artificial Intelligence)
    MATH 110
    (Linear Algebra)
    MCELLBI 104
    (Genetics, Genomics, Cell Biology)
    COMPSCI 170
    MATH H113
    (Honors Abstract Algebra)
    MCELLBI 160
    (Cellular and Molecular Neurobiology)
    COMPSCI 189
    (Machine Learning)
    MATH H185
    (Honors Complex Analysis)
    MCELLBI 166
    (Biophysical Neurobiology)
    COMPSCI 172
    (Computability and Complexity)
    MATH 202A
    (Topology and Analysis)
    CMPBIO 290
    (Seminar in Computational Methods for Single-Cell Genomics and Immunology)
    COMPSCI 172
    (Randomized Algorithms)
    MCELLBI 161
    (Systems Neuroscience)
    COMPSCI 194-198
    (Network Models and Algorithms)

Research Experience

Undergraduate Senior Intern, Machine Learning Initiative Summer 2022
D. E. Shaw Research

  • Developed machine learning workflows for drug discovery.

Undergraduate Researcher, Tsao Lab January 2022-Present
Dept. of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley

  • Developing a real-time electrophysiology analysis plugin for the open-source platform Open Ephys.

Undergraduate Researcher, Song Lab August 2020-Present
Depts. of EECS and Statistics, University of California, Berkeley

  • Developed a pipeline for scalable genome-level inference of recombination rate from sequencing data based on tree inference methods and statistical learning.
  • Investigating the phenomenon of codon usage bias in the genome and its differential distribution within and across genes and species.

High School Research Intern, Feng Lab Summer 2018
Dept. of Brain and Cognitive Sciences, MIT

  • Analyzed electroencephalography (EEG) signals in mice to investigate the function of the thalamic reticular nucleus (TRN) and its role in regulating sleep.
  • EEG Pipeline Preprint on bioRxiv.
  • TRN Subnetworks Paper in Nature.

Teaching Positions

Undergraduate Graduate Student Instructor (uGSI)
Dept. of EECS, University of California, Berkeley Fall 2022, Summer 2020

  • Course staff for COMPSCI 70 (Su 20), COMPSCI 170 (Fa 22).
  • Taught discussion sections, led review sessions, answered questions on Piazza, graded exams, and held individual check-in meetings with students.
  • Received median 5/5 responses and above department average ratings on all questions in first-time course evaluation.

Reader Fall 2022, Spring 2022, Spring 2021
Dept. of EECS, University of California, Berkeley

Reader Spring 2022
Dept. of Mathematics, University of California, Berkeley

Selected Awards and Honors

Dean's List, College of Letters and Science, University of California, Berkeley Fall 2021, Spring 2021, Fall 2020, Fall 2019

  • Description from the College of Letters and Science, UC Berkeley.

Scholar, Regeneron Science Talent Search (STS) January 2019