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Austin Wu
linkedin.com/in/austin–wu/ | github.com/Austin4705

Education

  • Cornell University Ithaca, New York
    Dual Major: Bachelor of Science in Applied Physics Graduation Date: May 2027

  • Relevant Courseowrk: PHYS2217, PHYS2218, PHYS7687, MATH2230, MATH2240, MATH6302, AEP1100, AEP3610, AEP3200, AEP4200, AEP4500, CS4789, CS4999

    Awards: USACO Platinum Competitior (Top  ≈ 150/30000 the USA for Pre-collegiate Competitive Programming)

Experience

  • Researcher April 2025 – Present
    Caltech, Ye Lab for Topological Materials Pasadena, CA

    • Grew Kagome Crystals in order to experimentally measure them

    • Created a novel sheer-force mechanism to stretch Crystals at absolute temperatures to look for emergent Quantum Hall Phenomenon

  • Founding Engineer September 2024 – December 2024
    Deepsilicon (YC24) Remote

    • Working on a custom TPU on a FPGA using a quantized 1.5bit architecture to achieve performance speedups.

    • Implemented Berkeley Hardfloat with for high performance FPU operations

    • Creating nontrivial optimizations like Chebyshev polynomial approximations for certain algorithms

    • Set up the FPGA compilation build chain.

  • Researcher October 2023 – Present
    Cornell, Yasuda Lab for 2D Quantum Nanomaterials Ithaca, NY

    • Exfoliated and stacked HBn in novel configurations to prove for ferroelectricity

    • Built and utilized a novel experimental tool called a Quantum Twisitng Microsoope

    • Desigend and built the mechanisms for the dilution fridges that are used by the lab to experimentally measure devices

    • Developed a full-stack web application using OpenCV, React, Flask, and MongoDB to automate the transfer station machine allowing for exponential speedup of device creation with nontriival CV algoirhtms.

  • Co Founder and Vice President December 2023 – Present
    Quantum Computing Association at Cornell Ithaca, NY

    • Leading a team advised by Professor Or Katz that is creating a novel Quantum Memory System to break the reccord on room temperature quantum information storage by 100x

    • Created complicated thermal simualtions in COMSOL to verify a heating and nonmagnetic enclosure

    • Created a simulator for parameter optimziation of the system and designed the optical table layout for the system

  • Developer January 2024 – May 2024
    Cornell, Ken Birman Lab of Distributed Systems Ithaca, NY

    • Ran internal experimentation using CUDA to optimize caching for large scale matrix multiplication.

    • Contributed to the Cascade Project by developing a fast vector database using FUSE for RAG.

Technical Skills

Languages: C/C++, Python, JavaScript/HTML/CSS, Java, C#, Rust, Verilog, SystemVerilog
Frameworks: CUDA, React/Next, Node.js, Express, MongoDB, Flask, Django, Tailwind
Developer Tools: Git, Docker, AWS, Jenkins, Vim
Libraries: Pandas, NumPy, Matplotlib, OpenCV, PyTorch, Sci-Kit, TensorFlow
Tools: Solidworks, Fusion360, COSMOL, Ansys, Vivado