Ming Gong

New York, NY | (682) 559-3699 | –verbose

Education

• Carnegie Mellon University
  2026 - 2031
  Incoming PhD – Electrical and Computer Engineering

• Columbia University
  2024 - 2026
  BS – Computer Engineering
  GPA 4.25/4.33

• Bard College at Simon’s Rock
  2021 - 2025
  BA – Physics, Summa Cum Laude
  GPA 3.99/4.0

Experience

Teaching Assistant
Columbia University | Jan. 2025 - May 2026

• TA for Embedded Systems
• Former head TA for Fundies
• CSEE ODS notetaker

Research Assistant with Dr. Xia Zhou
Columbia University | Jan. 2025 - May 2026

• Implemented a sensor system to monitor ECG under motion artifacts.
• Designed impedance sensing software and circuit to detect blood pulses

Algorithms Intern
Alibaba | Jun. - Aug. 2025

• Researched agentic tools for browser automation and webpage scraping
• Tuned multilingual LLMs, using SFT to improve translation quality.

Physics Intern with Dr. Michael Bergman
Bard College at Simon’s Rock | Jun. 2022 - Jun. 2024

• Experimentally verified the effect of wavelength and grain size on longitudinal ultrasonic wave scattering patterns.
• Experimented with a new foil technique in high-temperature ultrasonic shear wave coupling.
• Submitted a paper in 2025 and a poster to the 2024 SEDI Conference. Currently working on one more manuscript.

Research Assistant with Dr. Xi Chen
Zhejiang University | Mar. 2022 - Jul. 2024

• Published a paper on predicting the physio-chemical properties of organic species.
• Collaborated on revising and editing academic papers in machine learning models.

Publications

• Gong, M. & Bergman, M.I., (2025). An Experimental Ultrasonic Method to Determine A Scattering Quality Factor, with Application to Earth’s Inner Core. Physics of the Earth and Planetary Interiors.

• Cao, X., Gong, M., Tula, A., Chen, X., Gani, R., & Venkatasubramanian, V. (2024). An Improved Machine Learning Model for Pure Component Property Estimation. Engineering.

Awards and Honors

• Jonathan L. Gross Award for Academic Excellence (2026)
• Computer Engineering Award of Excellence (2026)
• Columbia Dean’s List (all semesters)
• Fisher Poster Session Contest, 2nd place (2024)
• Simon’s Rock Dean’s List (all semesters)
• SCUDEM VIII Outstanding Award (2023)
• AP Scholar with Distinction (2021)

Skills

• Hardware/EDA: Cadence, Synopsys, Quartus, FPGA, PCB layout, SPICE
• Programming: C/C++, Python, System Verilog, MATLAB, Git
• ML: Pytorch, CNN/U-Net, LLM fine-tuning (SFT)
• Domains: Digital VLSI, mixed-signal/analog, embedded systems, signal processing

Selected Projects

• 16-bit DIF FFT
• 8-bit VLSI Mini Processor
• FPGA Gaussian Elimination Accelerator
• Capacitative ECG Fabric Sensing Prototype

Courses

Computer Engineering:
Computer Networks, Embedded Systems, Computer Architecture, Digital VLSI Circuits, Advanced Digital Electronic Systems

Computer Science:
Advanced Systems Programming, CS Theory, Operating Systems, C++ for C Programmers, Machine Learning

Electrical Engineering:
Solid State Devices and Matters, Analog Electronic Circuits, Random Signals and Noise

Mathematics:
Probability, Real Analysis, Abstract Algebra

Physics:
Quantum Physics, Classical Mechanics, Electrodynamics, Statistical Thermodynamics

Chemistry:
Organic Chemistry

Activities

• Electrical and Programming Lead, Columbia Combat Robotics Club
• E-Board, Columbia IEEE
• Event Supervisor, Robot Tour, Columbia Science Olympiad
• Organizational Committee Member, Columbia Global China Connection
• Member, Tau Beta Pi
• E-Board, Columbia Data Science Society
• President, Simon’s Rock Robotics Club
• Member, Simon’s Rock STEM Competition Club

References

• Michael Bergman
• Xia Zhou
• Martha Kim
• Stephen Edwards
• David Vallancourt
• Xiaodong Wang
• David Myers
• Miha Habič