AI / computer vision / neuroscience
I build Python and desktop software for data analysis, computer vision, media processing, and research workflows. My recent work includes lab data support, video indexing experiments, and practical tools for motion analysis.
Selected work
Media software
A personal software project for video library indexing and recommendations. The project explores Whisper transcription, CLIP embeddings, audio features, OpenCV analysis, FFmpeg processing, and local metadata storage.
View sourceComputer Vision
A Python tool developed for motion analysis workflows in an electrophysiology lab. The project focuses on practical video-based tracking, plotting, and data handling for experimental review.
View sourceResearch support
Internship work supporting miniscope calcium imaging analysis. Tasks included running Minian preprocessing steps, rigid motion correction, CNMF source separation, neural trace review, and CalTrig-assisted validation of extracted events.
Lab work
Internship / neuroscience data
Data science internship focused on miniscope calcium imaging datasets from freely moving mice. Work included running and validating preprocessing pipelines, supporting dataset organization, and using the Quartz high-performance computing cluster for distributed processing tasks at Indiana University.
Volunteer / motion analysis
Volunteer data science work in an electrophysiology lab using computer vision for biological motion analysis. Work includes Python analysis scripts, MotionTrack development, workflow organization, Linux system support, and GPU/CUDA environment setup for analysis machines.
Experience
Volunteer data science work in the Alexandre G. Obukhov Laboratory. Contributed Python tools for biological motion analysis, helped organize computational workflows, supported non-technical staff with analysis setup, and worked with OpenCV, Pandas, Matplotlib, Linux, KVM virtualization, GPU passthrough, and CUDA.
Internship with the Yao-Ying Ma Laboratory focused on calcium imaging datasets from miniscope recordings. Supported preprocessing and validation workflows using Minian, FFT-based rigid motion correction, CNMF source separation, CalTrig, SSH, Linux servers, remote desktop, SLURM, and the Quartz HPC cluster.
Built small video and music software projects, including local playback tools, media organization experiments, and early recommendation/indexing prototypes using Python, Qt Multimedia, Electron, JavaScript, C++, FFmpeg, OpenCV, JSON, and SQLite.
Bachelor of Science program in neuroscience.
Bio
I am a neuroscience student and software developer in Indianapolis. My work is broader than one institution or lab: I have built media software, desktop tools, computer vision prototypes, and Python scripts for data analysis.
My lab experience gave me useful exposure to calcium imaging, electrophysiology workflows, and research computing. Long term, I am interested in computer vision, machine learning, computational neuroscience, and software that is easy to inspect, run, and improve.
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