Raj Singh-Moon, PhD
Director of Data Science at Modulim — applied ML, biomedical optics, and edge deployment.
Experience
Director, Data ScienceModulim
Feb 2023 — Present- Lead a cross-functional team building clinician-facing capabilities for a mobile vascular imaging device — sensor to model to on-device inference.
- Built physics-informed CV and neural inverse-solver models constrained by the light-transport forward model; shipped on-device oxygenation and tissue-structure pipelines.
- Integrated multi-sensor hardware (camera boards, stereo depth, ADC/DAC) on RPi CM4/CM5, Jetson, and Luxonis OAK; own hiring and technical direction.
Senior R&D ScientistModulim
Jun 2021 — Feb 2023- Led production software and algorithm work for device control, acquisition, and inference (OOD, CI/CD, Agile).
- Developed detection and segmentation models gating the downstream optical-property inversion.
- Delivered ~60× compute speed-up and ~30% accuracy gain via algorithmic redesign and GPU optimization; shipped production C#.
R&D ScientistModulim
Feb 2020 — Jun 2021- Authored the image-quality pipeline that became the FDA-cleared device's acceptance test.
- Established the Python/MATLAB → production-C# translation pattern later teams standardized on.
Postdoctoral Research ScientistColumbia University, SFIL
Apr 2019 — Jan 2020- Built a GPU imaging-analysis interface for real-time reflectance and OCT data collection.
- Ran experimental validation studies grounding the computational pipeline in physical measurement.
Graduate Research AssistantColumbia University, SFIL
Sep 2014 — Apr 2019- Built light-transport simulation and inversion (Monte Carlo / radiative transfer) in CUDA, validated against bench-top tissue phantoms.
- Designed and operated the optical and imaging hardware — catheter-based probes and spectroscopic front-ends.
- Co-authored peer-reviewed work on near-infrared tissue quantification and microcirculatory imaging.
Education
PhD, Electrical Engineering — Columbia University
Biomedical optics & computational imaging
MSc, Electrical Engineering — Columbia University
BSc, Electrical Engineering — New York University
Selected Publications
Nature · Scientific Reports
Quantification of irrigated lesion morphology using near-infrared spectroscopy
Journal of Surgical Case Reports
Steal syndrome from a superficial circumflex iliac perforator artery flap
BMJ Open Diabetes Research & Care
Quantifying dermal microcirculatory changes of neuropathic and neuroischemic diabetic foot ulcers
10+ peer-reviewed papers across optics, clinical imaging, and ML — full list on Google Scholar.
Skills
ML / CV
Physics-informed models · inverse solvers · detection & segmentation · LoRA / SFT · quantization · PyTorch
Optics / simulation
CUDA Monte-Carlo · radiative transfer · light-transport inversion · photometric calibration
Systems / edge
RPi CM4/CM5 · Jetson Nano · Luxonis OAK · embedded integration · Python · C# · C++
Leadership
Team building 1 → N · hiring · technical direction · MLOps · FDA-cleared workflows