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JJFrisch/README.md

Hi there 👋, I'm Jake Frischmann

Computer Scientist | Aspiring Researcher

📍 Wayne, PA | 📧 Email: JJFrisch@outlook.com


About Me

I’m a dual-degree student in Computer Science & Physics at the University of Maryland. My work spans software development, machine learning, and 3D modeling/printing. I have a passion for the more math involved aspects of computer science and I am looking to get involved in bioinformtaics. When I’m not coding, you can find me playing pick-up soccer or reading a fantasy novel.

  • Languages & Tools: Python, C, C++, Java, C#, Rust, Assembly, JavaScript, Linux
  • Frameworks & Libraries: PyTorch, TensorFlow, .NET MAUI, Unity, SolidWorks
  • Skills: Neural networks, data analysis, visualization, system design, problem framing

Featured Projects

BlokusDuo Game Agents (2024)

Blokus Duo: Using Deep Search Algorithms to Explore Turn-Based Game Strategy

  • Developed AI agents using Proximal Policy Optimization and Monte Carlo Tree Search with CNNs in PyTorch.
  • Published a 20-page research paper in the PGSS Journal about strategic play and human vs AI game theory.
  • Explored how AI strategies evolve in competitive games, combining reinforcement learning with heuristic planning.

SpiRob: Soft Robotics for Material Science (2025)

I was part of the Zheng Research Lab at Drexel for an internship. I worked with Dr. Yue Zheng and Masters student Jeffery Walker.

  • Helped design a tentacle style gripper in SolidWorks, 3D-printed and actuated with stepper motors.
  • Emphasis on reproducibility, low-cost design, and integration with modular robotics systems.

Maze Escape (2023–present)

  • Mobile + PC game in C# and .NET MAUI that generates and solves mazes with multiple algorithms and strategies.
  • Features custom skins, power-ups, multiple worlds, and daily challenges.
  • Focused on algorithm efficiency, user experience, and extensible game design.

Screen Time & Adolescent Anxiety Study (2024)

  • Conducted a 200-person randomized stratified survey; developed a two-part self-report method using phone screen-time logs.
  • Applied basic statistical analysis to identify correlations between childhood screen exposure and anxiety.
  • Produced a research paper presenting significant findings and innovative data collection methodology.

GitHub Stats

Jake's GitHub Stats
Top Languages


Let’s Connect

I’m always open to collaboration, research discussions, and software projects. Reach out via email.

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  1. BlokusDuo BlokusDuo Public

    Explores the application of various artificial intelligence algorithms to a two-player, abstract strategy board game Blokus Duo, evaluating the performance of models in different simulated environm…

    Jupyter Notebook 3 1

  2. Maze-Theories Maze-Theories Public

    Working on basic graph theory in mazes by creating optimizing and solving mazes.

    Jupyter Notebook 1

  3. Flying-Glob-Game Flying-Glob-Game Public

    java based mini shooter game with powerups and stats

    Java