Nice to meet you, I'm

Robin Hwang.

I'm currently an undergraduate student at the University of Michigan. My interests are in the field of computer science and am open to new experiences.

A More Formal Introduction

Greetings and salutations! My name is Robin Hwang, and I currently study at the University of Michigan. My interests lie in computer science, specifically full stack development and machine learning. I enjoy taking on leadership and managerial positions and steering a group with passion.

I am originally from New York, born and raised. I have lived downstate all my life until I moved to Michigan for my undergraduate degree.

It had to be around 2017 when I first started to develop and interest in computer science. I was always curious about what could be powering my search engine (Google), my television, the games I played, and my cell phone. I remember stumbling upon articles about circuits and hardware. Quite frankly, I wasn't really interested. I wanted to know where the logic was happening and where the decisions were being made. After a little more surfing on the web, I discovered computer science and programming.

With the word "programming" at the back of my head, I decided to enroll in a programming course during my freshman year of high school. It was called "Introduction to Programming With Python." Although it was an intro-level course, I learned a great deal about the basics of programming and logic. My curiosity was piqued, and I decided to continue my computer science education throughout the rest of my years of high school and eventually study it at the University of Michigan. Which is where I am today.

Robin's Myers-Briggs (MBTI)

ESFJ - Turbulent Consul

Extraversion (64%) Introversion (36%) 64%
Intuition (52%) Sensing (48%) 52%
Feeling (59%) Thinking (41%) 59%
Judging (93%) Perceiving (7%) 93%

Relevant Experience

Stanford Linear Accelerator Center - Software Engineering/AI Intern

June 2024 - Present

  • Developed ML models to predict beam properties and quantify the accuracy and robustness of these predictive models over time for the FACET-II injector
  • Replaced older simulation softwares for FACET-II, specifically using Impact-T in place of the General Particle Tracer (GPT) and using Bmad in place of Lucretia
  • Ran start-to-end simulations of beam to study beam jitter based on variations in the accelerating cavities
  • DOI: 10.13140/RG.2.2.15457.72807/1
  • Received an extended internship to continue to implement machine learning models for particle accelerators

Stanford Linear Accelerator Center - Machine Learning Intern

June 2023 - August 2023

  • Optimized water-cooling systems using Python, PyTorch, numPy, and data from FAST particle accelerator injector at Fermilab by implementing a long short-term memory (LSTM) neural network
  • Improved speed of normalization of temperature by up to five times using model predictive control rather than traditional proportional-integral-derivative (PID) controller or other feed-forward neural network solutions
  • Prepared findings and gave a lecture at the laboratory on the benefits of utilizing machine learning in optimizing particle accelerators
  • DOI: http://dx.doi.org/10.13140/RG.2.2.15339.52008

Computer Science Club - President

September 2021 - May 2022

  • As president, led club by running meetings, introducing concepts in Computer Science, and preparing code stubs for club activities.
  • Taught binary, cryptography (Hill Cipher, Atbash Cipher, Vigenère Cipher, etc.), HTML, CSS, JavaScript, discrete mathematics, bot programming in Python, etc.
  • Ran “unplugged” meetings which introduced Computer Science concepts without the use of computers

Tools Used: Python, Java, HTML, CSS, JavaScript, Google Suite, Microsoft Office Tools
Skills: Computer Science, Leadership, Teamwork, Collaboration

Personal Projects

Lyricle

February 2022

  • Created an online game in JavaScript where users have six tries to figure out the name of a song based on its lyrics
  • Launched application on Netlify to allow users anywhere in the world to play

Tools Used: HTML, CSS, JavaScript, Netlify, Git
Skills: Computer Science, Web Design, Teamwork

Room Reservation System

June 2021 - January 2022

  • Developed a room reservation system in Java for faculty to reserve computer labs and multipurpose classrooms for over 150 faculty members
  • Implemented sorting and search algorithms (binary search) to allow admins to search for registered faculty members
  • Designed a GUI for easy use by school faculty using Swing and AWT
  • Installed application on the district's LAN (local area network) to prevent access to users outside of the district

Tools Used: Java, Git
Skills: Computer Science, Collaboration, Algorithms, Problem Solving

COVInsight

September 2020 - April 2021

  • Using phylogenetic data from Nextstrain, created database of every SARS-CoV-2 variant (over 5000) using Python
  • Designed front end in Swing and AWT in Java
  • Utilized pandas library in Python to perform analyses/read TSV files of variant data

Tools Used: Java, Python, Database, Git
Skills: Computer Science, Algorithms, Database Analysis, Research, GUI Development

Discord Bot

March 2020 - June 2020

  • Used Python to develop a bot for the messaging application Discord that automatically replies to certain trigger words sent in the chat
  • Hosted bot to keep running even when IDE is closed using the Flask web framework
  • Created tutorials on how to make Discord bots through a series of videos on YouTube channel

Tools Used: Python, Flask, UptimeMonitor
Skills: Computer Science, Web Hosting, Server-Side Coding, API Usage

Other Experience

Splish Splash Waterpark - Lifeguard

June 2021 - August 2021

Stony Brook University Medical Center - Volunteer

August 2019 - June 2022