About Me
Hi there! I'm a Princeton computer science student interested in researching and engineering for social good, particularly through AI, machine learning, and robotics.
I've loved solving problems with math and computation ever since I first printed "Hello world" in the eighth grade. Now, after years of hard work, I've garnered both a strong theoretical background in quantitative reasoning, and a wealth of practical experience both through applied research and engineering roles. I'm excited to keep developing my skills in software engineering and machine learning, and keep applying them to fields from robotics to sustainability and even finance.
Check out my experience below, or through my resume or LinkedIn !
Education
Princeton University | B.S.E in Computer Science
Princeton, NJ, Aug. 2022 - May 2025
GPA: 4.0
Relevant coursework: Data Structures and Algorithms (A+), Machine Learning (A+), Computer Systems (A+), Computer Architecture, Advanced Software Engineering Techniques, Fundamentals of Statistics (A+), Probability Theory, Discrete Mathematics (A+), Advanced Vector Calculus (A+), Advanced Linear Algebra (A+), Engineering in the Modern World (A+)
Activities: Data Science Club Team Lead, Princeton Science Olympiad Executive Board, IgniteSTEM Events Coordinator, Undergraduate Student Government Data Analytics Committee, Princeton Quiz Bowl Team, Lobster Improv Comedy Club, Princeton University Climbing Team
Awards and Honors: George B. Wood Legacy Sophomore Prize (top two students in class)
James S. Rickards High School | IB Diploma Programme
Tallahassee, FL, Aug. 2018 - May 2022
GPA: 4.0, SAT: 1580
Relevant coursework: IB Mathematics (7/7), IB Physics (7/7), AP Calculus BC (5/5), AP Computer Science A (5/5), AP Physics 1 (5/5), AP Physics C (5/5), AP Statistics (5/5)
Activities: Mu Alpha Theta Math Club President, Language Club President, Programming Club President, National Honor Society Vice President, Science Olympiad Club Secretary
Awards and Honors: 2022 U.S. Presidential Scholar (one of 161 students across the country), Florida Sunshine State Scholar, National Merit Scholar, AP Scholar with Distinction, 4-time AIME Qualifier with Distinguished Honor Roll, USA Computing Olympiad Gold Rank, USA Physics Olympiad Honorable Mention, Silver Presidential Volunteer Service Award
Work Experience
Machine Learning Engineer Intern | Ticket Wallet
Princeton, NJ (remote), June 2023 - Aug. 2023
Working with startup CTO and small engineering team to develop Selenium web-scraper and reinforcement learning pipeline for automated dynamic ticket pricing with PyTorch, Apache Spark, AWS Sagemaker
Deep Learning Research Intern | University of Washington
Seattle, WA, June 2023 - Aug. 2023
Research intern for Prof. Manucharyan, designed Tensorflow models for predicting Sea Surface Temp. values -- full data pipeline & novel Generative Adversarial ConvLSTM used to obtain 60% decrease in loss from baseline methods
Research Assistant | Princeton Intelligent Robot Motion Lab
Princeton, NJ, Feb. 2023 - Present
Working with PhD student to evaluate monocular depth perception algorithms for CrazyFlie & Tello quadcopters
Statistics & R Tutor | McGraw Center for Teaching and Learning
Princeton, NJ, Feb. 2023 - Present
Individual tutoring and group study halls for students in Fundamentals of Statistics and R Programming classes
Undergraduate Course Assistant | Princeton Computer Science Department
Princeton, NJ, Feb. 2023 - May 2023
Grade programming assignments for Data Structures & Algorithms class, debugging & providing detailed feedback
Data Science Intern | QuantCap
Princeton, NJ, Feb. 2023 - May 2023
Winter 2023 Intern, worked in small group to develop real-time Flask web-scraper and 1-D CNN Tensorflow model for short-term stock market prediction and portfolio allocation; presented overall returns of >30% to company CEO
Junior Software Engineer | The Daily Princetonian
Princeton, NJ, Sept. 2022 - Present
Working with team of undergraduates to develop new features of newspaper’s MERN-stack app, as well as produce new mobile React Native app with Expo Go. Also write weekly crossword puzzles for newspaper’s Puzzles team.
Tech Lead | Princeton Hack4Impact
Princeton, NJ, Sept. 2022 - Present
Leading small team of students to develop MERN-stack data visualization platform for NJ Tree Foundation Frontend development in React Leaflet and backend managing PostgreSQL database
Research Intern | Florida State University Optimal Robotics Lab
Tallahassee, FL, Oct. 2019 - June 2022
Research intern for Professor Christian Hubicki, working with PhD students to study risk-based trajectory optimization algorithms in bipedal locomotion -- particular emphasis on regression & feedback control in Python and MATLAB. Co-author on paper submitted to International Conference on Robotics and Automation (ICRA) - “Locomotion as a Risk-mitigating Behavior in Uncertain Environments: A Rapid Planning and Few-shot Failure Adaptation Approach.”
Projects
Pleistocene Park Sustainability Analysis
Apr. 2023 - Present
Framework for analyzing the feasibility of the Pleistocene Park nature reserve at mitigating global warming, developed in collaboration with Professor Andrea DiGiorgio. Project includes full data pipeline from raw geographic data in R and Python, maximum-entropy species distribution modelling with state-of-the-art Maxent tool, Generalized Linear Model trained on pseudoabsences and pseudopresences, and outputs of AnyLogic system dynamics model when using these predicted populations as inputs. Results to be presented as poster at Student Conference on Conservation Science (SCCS-NY).
Sea Surface Temperature Interpolation
June 2023 - Present
Framework for interpolating satellite sea surface temperature data under cloud cover, extended from summer research done with Professor Georgy Manucharyan and doctoral student Scott Martin at the University of Washington. Project includes full data pipeline from raw satellite images, various deep learning models in TensorFlow trained to match unclouded images to clouded images, and client that allows for evaluation of models against the baseline technique of "kriging". Results to be presented at Princeton's Summer of Learning Symposium.
Risk-Aware Obstacle Avoidance
Jan. 2022 - June 2022
Framework for real-time quadcopter navigation and learning of multiple risk sources, extended from research done with Professor Christian Hubicki and doctoral student Jacob Hackett at Florida State University. Project includes high-dimensional spline regression model for learning risk mapping from successes and failures, quadratic programming direct collocation using that model as a constraint, and model-predictive control loop implementing those optimizations in real time on the drone. Results accepted by and presented at International Conference on Robotics and Automation.
These are just a few -- many more fascinating projects can be found on my Github!
Contact
If you are looking for an ambitious and motivated engineer or researcher, with both theoretical and practical expertise, I would be honored to have the opportunity to connect with you. Please feel free to reach out to me for further discussion at dylaneg@princeton.edu.