Dasheng Bi

Education

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

  • Computer Science, Mathematics, Molecular and Cell Biology-Neurobiology
  • GPA: 4.000; Highest Distinction; Departmental Honors; Phi Beta Kappa
  • CS Honors Thesis: "Benchmarking Sequence-Based Methods for Predicting Translation Initiation"
  • MCB Honors Thesis: "Face and Object Representations in Inferotemporal Cortex"
  • Selected List of Courses Taken
    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 170
    (Algorithms)     		MATH 110
    (Linear Algebra)     		MCELLBI 104
    (Genetics, Genomics, Cell Biology)
    COMPSCI 172
    (Computability and Complexity)     		MATH H113
    (Honors Abstract Algebra)     		MCELLBI 160 / L
    (Cellular and Molecular Neurobiology with Lab)
    COMPSCI 174
    (Randomized Algorithms)     		MATH H185
    (Honors Complex Analysis)     		MCELLBI 161
    (Systems Neuroscience)
    COMPSCI 182
    (Neural Networks)     		MATH 128A
    (Numerical Analysis)     		MCELLBI 166
    (Biophysical Neurobiology)
    COMPSCI 188
    (Artificial Intelligence)     		MATH 141
    (Differential Topology)     		VISSCI 265
    (Neural Computation)
    COMPSCI 189
    (Machine Learning)     		MATH 202A
    (Topology and Analysis)     		CMPBIO 290
    (Algorithms for Single-Cell Genomics)
    COMPSCI 194-198
    (Network Models and Algorithms)     		MATH 205
    (Theory of Functions of a Complex Variable)

Research Experience

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

  • Developed 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.
  • Investigated the phenomenon of codon usage bias in the genome and its differential distribution within and across genes and species.
  • Developed and benchmarked machine learning methods for translation initiation prediction.

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

  • Developed machine learning workflows for drug discovery.

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 Experience

Undergraduate Graduate Student Instructor (uGSI)
Dept. of EECS, University of California, Berkeley Spring 2023, Fall 2022, Summer 2021

  • Course staff for COMPSCI 189 (Sp 23), COMPSCI 170 (Fa 22), and COMPSCI 70 (Su 21).
  • 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 every question in Su 21 and Sp 23 course evaluations.

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

I.L. Chaikoff Memorial Award May 2023

  • Department of Molecular and Cell Biology, University of California, Berkeley

CS Major Citation May 2023

  • Department of Electrical Engineering and Computer Sciences, University of California, Berkeley

NSF Graduate Research Fellowship March 2023

  • National Science Foundation

Dean's Honors List 2019-2022

  • College of Letters and Science, University of California, Berkeley

Regeneron Science Talent Search (STS) Scholar January 2019

  • Society for Science & the Public and Regeneron Pharmaceuticals