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Achievements

Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Highlights

  • Pro

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juliusgraf/README.md

Hi, I’m Julius Graf, an incoming first-year Ph.D. student at UC Berkeley. I am currently working on Reinforcement Learning for Auction Markets. You can reach me at julius.graf@berkeley.edu. This page collects reports from projects I’ve worked on, large and small.

Projects

Education

Institution Degree / Focus GPA Location Dates
University of California, Berkeley Ph.D. in Industrial Engineering & Operations Research California, USA July 2025 - May 2030
University of California, Berkeley M.Eng. in Industrial Engineering & Operations Research (FinTech concentration) 3.92 / 4.0 California, USA Aug 2024 – May 2025
CentraleSupélec, Université Paris-Saclay M.Sc. & Eng. in Applied Mathematics
(expected May 2025)		 3.97 / 4.0 (Top 1%) Paris, France Sep 2022 – Jul 2024
Lycée Louis-le-Grand Classes Préparatoires MPSI-MP* — Major Math, Minor Physics 4.0 / 4.0 Paris, France Sep 2020 – Aug 2022

Popular repositories Loading

  1. Robust_Image_Segmentation Robust_Image_Segmentation Public

    Conducted advanced research on unsupervised image segmentation using Lipschitz regularity constraints

    Jupyter Notebook

  2. Portfolio_Optimization Portfolio_Optimization Public

    Implemented and tested robust portfolio optimization strategies, comparing their performance against the S&P300

    Jupyter Notebook

  3. Forest-Monitoring Forest-Monitoring Public

    Executed a research project on spatial clustering and advanced Bayesian learning and inference for Neyman-Scott processes

    Jupyter Notebook

  4. Image-Deconvolution Image-Deconvolution Public

    Explored the impact of various convex regularization techniques on 2D image denoising, emphasizing theoretical understanding and practical implementation

    MATLAB

  5. juliusgraf juliusgraf Public

    Config files for my GitHub profile.

  6. European-Option-Pricing European-Option-Pricing Public

    INDENG 221 mini-project on European call option pricing using Monte Carlo methods

    Python