About me

Hello! I'm Michael Scott.

I received my Bachelor of Science degree in Computer Science at Pepperdine University and am now pursuing my Juris Doctorate from the University of Oregon School of Law.

Work Experience

Legal Intern

  • Audited Client Service Agreements to ensure the inclusion of required exhibits, accurate fee structures, and valid signatures in compliance with legal standards.
  • Drafted client termination letters which addressed false starts, financial closures, and entity transitions

Data Specialist

  • Conducted the recruitment of 200+ students to provide notes for students with disabilities
  • Implemented new JavaScript functions in primary Google Sheet to maximize efficiency and accuracy

Speech Lab Tutor

  • Evaluated and critiqued speeches of 30+ students
  • Communicated with students one on one in order to better understand their speech and help improve their delivery

Education

J.D. Candidate

(September 2023 - May 2026)

B.S. of Computer Science

(August 2018 - April 2022)

Volunteering

Pepperdine Human-Centered AI Conference Volunteer

(October 2021)
  • Facilitated the check-in and registration of 100+ attendees at Pepperdine’s first Human-Centered AI conference.
  • Presented with Dr. Fabien Scalzo to Pepperdine’s Board of Regents Academic Affairs Committee to report the success of the conference.

Vice President of Service

(May 2020 - January 2021)
  • Demonstrated problem-solving ability by coordinating service opportunities for a 40+ student chapter to grow the fraternity’s community presence during the COVID-19 pandemic.

Pepperdine Shanghai Social Chair

(January 2020 - May 2020)
  • Organized social opportunities for a 50+ student cohort off-campus to further develop and enhance relationships among the students.

Research

Here's the research I've done!

An Analysis of Pre-Trained CNNs for Diabetic Retinopathy Detection

  • Researched the performance of multiple image classification models used to detect Diabetic Retinopathy
  • Developed image preprocessing skills that helped provide a greater understanding of how best to prepare image data

Automatic Classication of Plant Cell Types

  • Classified 9 different plant cells with scikit-learn’s supervised classification models and ResNet-18.
  • Improved dataset by transforming images using PIL and created additional data with Keras’ Image Data Generator.

Contact me

Feel free to reach out to me and I'll get back to you as soon as I can!

  • mpsc@uoregon.edu
  • www.linkedin.com/in/michaelscott0