Jake Frischmann
CV

Curriculum vitae

CV and Resume

I am open to PhD programs, research labs, and collaborations where careful implementation matters as much as the question. Current work spans neuroinformatics, underwater robotics, soft-robotics control, reinforcement learning, and education software.

I study how computation, physics, and biological data can explain learning and decision-making. Dual B.S. expected May 2028; accelerated M.S. in Computer Science expected May 2029; planning Ph.D. applications in neuroinformatics or computational science.

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Education

  • University of Maryland, College Park

    Expected May 2028

    Degrees. B.S. Computer Science and B.S. Applied Physics (dual degree). Minor in Quantum Science and Engineering. Accelerated B.S./M.S. in Computer Science (M.S. May 2029).

    Honors. GPA 3.85; Dean’s List 2025, 2026

Research experience

  • Language, Experience, and Development (LEAD) Lab

    Undergraduate research assistant (Dr. Rachel Romeo) · Jun 2026 – present · University of Maryland

    • Undergraduate RA on SLIDE and PLANES preschool language/neural development studies.
    • Process preschool fNIRS/fMRI data in Python/MATLAB (motion correction, anatomical alignment).
    • Build ASR/NLP audio pipelines for day-long home recordings (speaker diarization, conversational turns).
    • Develop multimodal data-fusion infrastructure into BIDS-compliant datasets; automate RA quality-check workflows with documented Python scripts; collaborate with graduate mentors and PI on pipeline design.

  • NASA Neutral Buoyancy Lab - BioBOT Project

    Undergraduate researcher · 2025 – present · University of Maryland

    • Collaborate with faculty PI and student robotics team on NASA-sponsored BioBOT at UMD Neutral Buoyancy Lab.
    • Own underwater sensing/autonomy software (ROS/ROS2, Python/C++) integrating simulation with in-water testing.
    • Run structured pool trials for locomotion and navigation; collect telemetry/video for iteration; improved reliability and repeatability of test runs for NASA partnership milestones.

  • Zheng Research Lab

    Research assistant (Dr. Yue (Luna) Zheng) · May 2025 – Jul 2025 · Drexel University

    • Designed tendon-driven SpiRob soft manipulators in SolidWorks and built GPU-accelerated cable/soft-body simulations in NVIDIA Isaac Gym; iterated with 3D printing and laser cutting in a full-time research internship.
    • Characterized motor limits, cable stretch, and staged control bringup so hardware and simulation could advance together (open research code).

  • Pennsylvania Governor’s School for the Sciences (PGSS)

    Research fellow / main author (Dr. Neil Simonetti) · Summer 2024 · Carnegie Mellon University

    • Led BlokusDuo deep RL (PPO + MCTS) project in a residential program with a 7% admit rate; ~85% win rate vs tuned heuristics over 18,000+ GPU games with Optuna sweeps.
    • Main author on a peer-reviewed PGSS Journal paper (20 pages) documenting a reproducible deep-RL pipeline.

  • Directed Anxious Generation Correlational Study

    Lead researcher · Aug 2024 – Dec 2025

    • Led survey of high school students (n ≈ 140) linking multi-platform screen time to social connectedness and sleep; cleaned iOS/Android usage data and ran regression/t-tests (α = 0.01) finding significant negative associations with sociability, anxiety, and weekday sleep.

  • Rare-Allele Recognition and Quantum Advantage

    Independent research · 2025 – present

    • Prototype quantum vs classical pipelines for rare-variant call recognition in computational genomics; manuscript and poster in preparation.

Leadership and service

  • Orbit Infrastructure

    Founder and CEO · Feb 2026 – present · College Park, MD

    • Founded Orbit academic planning software; live for 2,500+ students (450 accounts, 3,000+ schedules) across 5+ schools (built for and live; not institutional affiliation).
    • Own degree-requirement evaluation (274+ UMD majors), prerequisite ASTs, multi-school transcript import, catalog data mesh, and multi-tenant Supabase RLS (React/TypeScript).
    • Mentored 4 undergraduates (Do Good Summer Impact Interns); secured $5k+ Do Good funding for pilot development.

  • AppDev Club

    Head of software, Henson Day iOS · 2024 – present · University of Maryland

    • Lead software on the production AR scavenger hunt for Henson Day (20,000+ annual attendees).
    • SwiftUI, RealityKit spatial anchors, and SwiftData persistence across a 5+ engineer team.

  • Bitcamp

    Quantum track organizer · 2025 – present · University of Maryland

    • Run beginner workshops, mentorship tables, and estimathons at one of the largest hackathons on the East Coast.
    • Two years mentoring beginner teams, mostly on scope, silent blockers, and getting one thing working end to end.

  • Fantasy Book Club

    President · 2024 – present · University of Maryland

    • Run the campus club. Weekly discussion, and the campaign notes that later show up in DM tools.

  • Intramural soccer

    Captain · 2024 – present · University of Maryland

    • Captain a rec team. Scheduling, roster, and showing up every week of the season.

  • KEEN Greater DC

    Volunteer athlete partner · 2025 – present · University of Maryland

    • Weekly recreational sessions with an athlete with disabilities. A Sunday commitment, not a one-off event.

  • Best Buddies

    Buddy · 2020 – present · High school; University of Maryland

    • One-to-one friendship with peers who have intellectual and developmental disabilities.
    • Four years in high school, then the same weekly commitment at Maryland from 2025.

  • Science Academy

    Member · 2024 – present · University of Maryland

    • Member of the campus science academy.

  • Robotics Terraformers

    Software · 2024 – present · University of Maryland

    • Software on the club robotics team.

  • Olympia Academy

    Member · 2024 – present · University of Maryland

    • Theoretical physics and philosophy discussion group.

Additional experience

  • DAILE Learning, Inc.

    Software engineer / product consultant · 2025 – present · Remote

    • Built branching lesson components and slide-editing workflows for instructors (TypeScript/React, Node.js, Supabase); advised classroom-pilot UX and helped ship a more robust lesson editor for early adopters.

Publications

  • Frischmann, J., et al. BlokusDuo deep reinforcement learning agents: architecture and experiments. PGSS Journal, 2024. Peer-reviewed; 20 pages. Main author.

Selected projects

  • Henson Day AR Campus Events App

    SwiftUI, RealityKit, SwiftData

    • Production iOS AR scavenger hunt for UMD Henson Day (20,000+ annual attendees) with RealityKit spatial anchors across a 5+ engineer AppDev team.

  • Maze Escape: Pathbound

    C#, .NET MAUI

    • Cross-platform game with 10+ maze generators and pathfinding solvers (A*, BFS, DFS, Dijkstra); playable demo at jakefrischmann.me.

Skills

  • Languages. Python, TypeScript, JavaScript, C++, C#, Rust, Swift, SQL, R, MATLAB

    Research and ML. PyTorch, TensorFlow, RL (PPO/MCTS), statistical modeling, neuroinformatics preprocessing, ASR/NLP pipelines, OpenCV

    Systems and robotics. ROS/ROS2, SolidWorks, NVIDIA Isaac Gym, RealityKit/SwiftUI

    Software. React, Node.js, Supabase/Postgres, pnpm/Turborepo, GitHub Actions, Vercel, Railway

    Quantum. Quantum Science and Engineering minor; quantum algorithm prototyping for genomics

References

  • Available upon request, including: Dr. Rachel Romeo (LEAD Lab, UMD); Dr. Yue (Luna) Zheng (Drexel); Dr. Neil Simonetti (PGSS/CMU); Mollie Kaufer (UMD).