Ryan Lee

Cornell University | School of Industrial & Labor Relations

Yorktown Heights, New York, United States

About

Hi~ I'm Ryan, a sophomore at the School of Industrial and Labor Relations! I'm interested in the intersection of business, law, and public policy, particularly mergers & acquisitions and antitrust law. Feel free to reach out at [email protected]!

Experience

  • Phi Alpha Delta Law Fraternity, International (Full-time · 10 mos)
    • Law Review Staff Writer
      Feb 2026 - Present · 5 mos

    • Active Brother
      Sep 2025 - Present · 10 mos

  • Vice President of Recruitment at Scheinman Conflict Resolution Club
    Dec 2025 - Present · 7 mos

  • Research Team at Cornell University ILR School
    Dec 2025 - Present · 7 mos

  • Nursery and Energy Center Team Member at Club Fit
    Jan 2025 - Jun 2025 · 6 mos

    - Supervised and engaged groups of children in age-appropriate games, crafts, and sporting activities, building clear routines and using positive reinforcement to maintain a safe, structured, and welcoming environment for children, families, and staff - Managed check-ins/check-outs, parent handoffs, and real-time updates, communicating calmly and clearly to build trust, prevent confusion, and keep transitions smooth and organized during high-traffic periods - Monitored behavior, safety, and minor incidents, de-escalating conflicts, redirecting attention, and supporting daily operations by sanitizing/resetting play areas, organizing supplies, and coordinating coverage to keep programs running on schedule

  • Research Intern at IBM
    Dec 2022 - Mar 2025 · 2 yrs 4 mos

    - Conceived and led a three-year independent research project (500+ hours) under the mentorship of three Ph.D. IBM cybersecurity researchers, designing, training, and evaluating a lightweight Convolutional Neural Network for malware detection - Optimized model performance for scalability across devices with varying computational capacity, refining architecture and classification thresholds to maintain strong detection accuracy while reducing compute and resource demands for more efficient cybersecurity applications - Earned two research awards recognizing academic excellence and research contributions, underscoring the project’s impact on applied cybersecurity and broader computer science work on computationally efficient malware detection across varying device capacities Awards: 2nd Place Somers Science Fair Leason Ellis Team Project Award at Regeneron WESEF