Jan 2025 – Dec 2025 · 11 mos · Seattle, Washington, United States

• Teachers Assistant for CSE546/446, Intro to Machine Learning.
• Created weekly section slides on fundamental ML content that are now adopted as part of the curriculum. Teaches weekly supplemental section to 30+ students.
• Assisted professors with writing exams, fielding questions, running office hours, and course logistics.

Jan 2025 – Dec 2025 · 11 mos · Seattle, Washington, United States

• Working in the Systems Neuroscience and Artificial Intelligence (SNAIL) lab under Dr. Matt Golub.
• Ran experiments on collected two-photon holographic optogenetic photostimulation data in mice, fitting a RNN to recorded calcium traces to ultimately define an active learning paradigm that will reduce the number of photostimulation experiments needed in order to elucidate the causal connectivity matrix of a region of interest (ROI) within the mouse brain.
• Studied if task-based activity versus stimulation-induced activity are meaningfully different in complexity within a mouse brain. Achieving this through a combination of physics-based, linear, and non-linear modeling approaches.
• Gained valuable experience with time-series modeling, time-series data visualization, data wrangling, and interdisciplinary research.

Jun 2023 – Sep 2023 · 3 mos · Seattle, Washington, United States · On-site

• Utilized Python packages such as SciKit-Learn, Pandas, NumPy, FAISS, UMAP, RDKit, and Seaborn throughout the internship; gained additional hands-on experience with Docker, GitHub, LaTeX, and Data Pipelining. Preprocessed a dataset of over 90,000 chemical representations, improving model avg. precision by over 100%.
• Created a python package that allows for the rapid evaluation of chemical embedding models on downstream tasks using ML models. Can fit 100+ logistic regression, kernel SVM, random forest, and lgbm classifiers within minutes. Contains built-in data visualizations using PCA, UMAP, and t-SNE.
• Created a program that utilizes chemical embeddings and FAISS to filter drug candidates. Can reduce search space from over a million molecules to under 1000, drastically reducing the time needed to find a lead candidate drug.

Mar 2023 – Sep 2025 · 2 yrs 6 mos · Seattle, Washington, United States · On-site

• Led the creation of a Deep Learning/Neuroscience course with 50+ hours of content spanning 10 weeks, also created a 100+ page textbook and 4 hands-on PyTorch workbooks for the course covering ML, DL, CV, LM, & RL.
• Grew average quarterly student enrollment 1500% (6 -> 90) over 2 years.
• Developed a TA system within I2, improved course infrastructure, and had maximum total enrollment of 200 students in a year for an introductory course to NeuroAI.
• Plans and executes meetings 1-2 times a week. In charge of creating meeting content.
• Planned, created, and executed the creation of a guided journal club that gets students deeper into a subfield of their choosing through reading papers and presenting bi-weekly.
• Partnered with University of Maryland Baltimore County to enroll students from the National Society of Black Engineers (NSBE) into our program.
• Contributed to the establishment of an affiliated club with shared goals at the University of Michigan named “Myelin”.

Dec 2022 – Mar 2023 · 3 mos · Seattle, Washington, United States

• Supported teacher in executing lesson plans, and provide individual attention to students during group sessions. Also ran weekly teaching sessions on Intermediate Data Science concepts like Pandas, Numpy, ML.
• Provided 1-on-1 help to students during Office Hours.
• Cultivated a positive, organized learning atmosphere by maintaining a classroom that is clean, engaging, and developmentally appropriate.

Apr 2022 – Dec 2024 · 2 yrs 8 mos · Seattle, Washington, United States

• Researcher at the UW Genome Sciences Noble Lab working on Casanovo-DB, a repurposed de novo sequencer for mass spectrometry database search that outperforms current score functions by 35-88%. Tasked with maintaining a clean code base, diligently documenting experiments, and leading the direction of the project.
• Gained proficiency in both programming and benchmarking deep learning models (PyTorch). Also gained experience with computational efficiency in deep learning, analyzing runtime and identifying bottlenecks where code needed to be vectorized which resulted in a runtime decrease of over 99%.
• Proficient with Linux systems and interfacing with a GPU cluster.
• Helping maintain the casanovo repo (https://github.com/Noble-Lab/casanovo) - a project that applies a Seq2Seq transformer model for De Novo Mass Spectrometry Peptide Sequencing.

Sep 2022 – Jun 2025 · 2 yrs 9 mos · Seattle, Washington, United States · On-site

• Alpha Kappa Psi is a Professional Co-ed Business Fraternity founded in with the purpose of developing its members into principled business leaders.
• Working with the Technology and Professional Development committees to upgrade the chapter website, create a member database, and put on professional development workshops for members.

Sep 2019 – Jun 2021 · 1 yr 9 mos · Sammamish, Washington, United States

• Taught Software Students Robot Code through online lessons during Covid-19. Designed pseudocode for competition bot.
• Helped redesign control system. Learned wiring practices, as well as basic EE theory. Created a skeleton drivetrain from a simple chassis to be used for testing.
• Created auxiliary software that would go on to win awards over multiple years

Sep 2018 – Sep 2019 · 1 yr · Sammamish, Washington, United States

• Learned about OOP and how it relates to robot code. Learned basic subsystem control mechanisms and basic robot control theory.
• Assisted board with various hands-on build projects