Scott Sikorski

Hey! I'm Scott Sikorski, a Masters student in computer science at the University of Virginia. I recently graduated from the University of Rochester in 2023 where I previously worked in parallel computing with GPUs using CUDA and OpenMP and compiler optimizations with software analysis techniques.

While at UVA, I have been working on Task and Motion Planning for Mobile Home Robots. I have combined a variety of reinforcement learning techniques to create a model that can learn complex sequential tasks in home environments. I have also worked on hardware accelerators, mainly GPUs, to speed up simulations. I've focused on improving throughput of CPU-GPU communication and optimizing memory access patterns to reduce latency.

I have primarily done industry work in Embedded Software for consumer electronics. This includes wearable fitness devices to help people track their workouts and train more effectively in their respective sports. Being a big runner myself, I'm very passionate in creating tools that can help people reach their goals and dreams. "No Human is Limited" ~ Eluid Kipchoge (First human under 2:00, Former Marathon World Record Holder)

2023 - Present

University of Virginia

Computer Science, MS

Coursework: Reinforcement Learning, Learning for Interactive Robots, Software Analysis, Advanced Compilers, Modern Computer Architectures, Human-Robot Interaction

2019 - 2023

University of Rochester

Computer Science, BS

Summer 2024

Northrup Grumman

Embedded Systems Software Engineer Intern

Summer 2022/2023

Garmin

Embedded Systems Software Engineer Intern

Spring 2024

University of Virginia

Teaching Assistant - Mobile App Development

2021-2023

University of Rochester, Research Assistant

Supervisor: Adam B. Sefkow, TriForce Lab

Parallel GPU Physics Simulations

Spring 2023

University of Rochester

Teaching Assistant - Software Analysis (Advanced Compilers)

Programming Languages: C, C++, Python3, CUDA, Kotlin, Swift, Java, Rust, PHP

Tools: Git, Jenkins, Jira, Docker, MATLAB

Robotics Tools: ROS, AI2THOR, ChoreoGraphe

ML Frameworks: Tensorflow, Keras, Gymnasium, PyTorch

Activate Secret Security Clearance granted May 2024

Outside of work, I am a Division 1 track athlete in the middle distance events at UVA. I was also a member of the UR track team. Check out my PRs on my World Athletics profile. Or even follow along with my training at Strava and see what I'm up to this week!

Outside of training, I enjoy spending time outdoors as we are near Shenandoah National Park. I enjoy most types of music and am always looking for new artists to listen to. Some albums that I've liked a lot recently include

• Beloved! Paradise! Jazz? - McKinley Dixon
• Ants From Up There - Black Country, New Road
• Troupeau bleu - Cortex
• MM..FOOD - MF DOOM