ROBERT KIMELMAN
Data Consultant & Technical Artist
Mechanism of Action: Neuronal Synapse Visualization [01]
Google App: Celestial Countdown
Research & Methodology
Bridging the gap between complex biological data and visual logic. My work is grounded in academic rigor, translating abstract mathematical frameworks into high-fidelity simulations.Mathematics: B.A. from Washington University in St. LouisApplied Math: Graduate Certificate from Johns Hopkins UniversityScientific Publications: Co-author of genomic network analysis in Cell Reports and STAR ProtocolsCurrently developing Mind Math, a proprietary 3D visualization framework designed to make advanced mathematical concepts intuitive through cinematic 3D assets.
About Me
I grew up in the Secaucus, NJ Meadowlands and have always been a curious, driven person dedicated to learning. After graduating from Secaucus High School in the top 10% of my class—serving as Class President for three years and on the Mid-Atlantic JSA Gubernatorial Cabinet—I began my career in research at just 17 years old at the Memorial Sloan Kettering Cancer Center.I went on to attend Washington University in St. Louis as a full-ride Deneb STARS scholar. When I wasn't taking proof-based mathematics exams, I was optimizing neural processing pipelines, engineering audio environments as the Lead Gameday Audio Strategist for the Varsity Athletics Department, and conducting research across the country at WashU, UCLA, and Penn State. I even spent a year designing and instructing a graduate-level data science curriculum for incoming doctoral candidates. Between research cycles, I kept myself sharp by running hills in the historic Forest Park. I graduated from WashU with a Bachelor’s degree in Mathematics and Psychological & Brain Sciences, completely debt-free.Driven to explore the intersection of human signal processing and machine intelligence, I relocated to Atlanta for a year and a half of research split at Georgia Tech and the Georgia Tech Research Institute (GTRI). There, I engineered vectorized pipelines for computational rap music analysis and optimized computer vision frameworks for machine learning and pose detection.Returning to my home state of New Jersey, I stepped into the role of Lead Bioinformatics Methodologist for a new molecular neuroscience lab. I spearheaded the computer vision and data analysis architecture for high-content microscopy, culminating in two peer-reviewed publications in Cell Reports and STAR Protocols. Concurrently, I earned a Graduate Certificate in Applied and Computational Mathematics (with a focus in Applied Analysis) from Johns Hopkins University. Later, I operated as a remote Computational Geometry Architect with Indiana State University, translating 3D topological folding models into educational datasets.Today, I have transitioned my multi-disciplinary background into full-time entrepreneurship. I build and scale sovereign ventures across three core nodes: high-fidelity digital media and content creation (achieving over 15M+ single-video views), interactive math education framework development (Mind Math), and technical B2B consulting. To maintain absolute autonomy and protect my creative equity, I keep my operations grounded through direct liquidity via the gig economy.Whether you are looking to solve a complex data visualization challenge, automate an imaging pipeline, or collaborate on a technical media asset, I bridge the gap between abstract mathematics and immersive visual execution.If you are interested in my consulting services or a professional collaboration, please fill out my consulting form below or reach out directly via email.
PROJECT INQUIRIES