Anmol Jarang

Anmol Jarang

Biomedical Engineering Graduate Student & Researcher

Education

Washington University in Saint Louis

2023-2025

Master of Science in Biomedical Engineering
Graduate Research Fellowship – Full tuition + annual stipend

Saint Louis University

2016-2020

Bachelor of Science in Biomedical Engineering
Minor: Engineering Mathematics

Technical Skills

Programming Languages

Python, MATLAB, iOS Development (Swift), Arduino (C/C++), JavaScript

Software & Frameworks

TensorFlow, DeepLabCut, SolidWorks, Fusion 360, COMSOL, GitHub, Agile Development

Specialized Skills

Medical Imaging, Machine Learning, Optical System Design, 3D Printing, Signal Processing, Hardware/Software Integration

Technical Areas

Multispectral Imaging, SWIR Systems, Embedded Systems, Mobile Development, Computer Vision, Biomedical Device Design

Current Research Projects

Researcher - Dr. Leo Shmuylovich's Dermatology Lab

Washington University in Saint Louis

Dermatoscope Development Portfolio

  • iPhone Solution: Created custom iOS app to extract raw Bayer data directly from smartphone camera sensor for accessible field deployment
  • Custom Hardware Solution: Designed low-cost, solid-state system using X-Cube beamsplitter, optical filters, and dual synchronized Raspberry Pi monochrome cameras for instantaneous image acquisition
  • Engineered both systems for cost-effectiveness while maintaining clinical-grade analysis capabilities
  • Implementing advanced image processing algorithms for equitable skin assessment across all skin tones

Skin Collagen Network Detector

  • Developing Raspberry Pi–based multicamera system to detect anomalies in collagen matrices in skin tissue
  • Designed and 3D printed multiple custom parts to mount and control single-board computer and 3D printer chassis simultaneously
  • Implemented custom optical design incorporating beam splitter and specialized filters for enhanced contrast
  • Creating automated analysis pipeline for real-time collagen network assessment

Low-Cost Slide Scanner

  • Designed 3D printer–based microscope slide scanner to automate detection of anomalies in stool samples for parasitology
  • Engineered system for cost-effectiveness and portability, targeting deployment in resource-limited settings
  • Implemented and modified custom camera and lens apparatus to determine optimal field of view parameters
  • Developed single-board computer system using Python for cost-effective simultaneous multi-camera acquisition

Multispectral Short-Wave Infrared Imaging System

  • Using and modifying Short-Wave InfraRed (SWIR) imaging system to obtain both visible and infrared data for analyzing cutaneous water content
  • Modified hardware system to increase illumination intensity for improved signal-to-noise ratio in clinical conditions
  • Optimized MATLAB processing code for faster completion and bulk processing by implementing efficient metadata organization
  • Developing protocols for non-invasive skin hydration assessment across diverse skin types

Previous Research Experience

Research Assistant - Dr. Adam Bauer's Neuroimaging Lab

Washington University in Saint Louis | November 2020 – February 2023

AI-Powered Limb Tracking System

  • Implemented DeepLabCut AI detection of limb movement and pupil diameter achieving 200x increase in landmark labeling speed compared to manual methods
  • Used instantaneous Hilbert angle transforms to determine phase of pupil diameter oscillations and correlate to neural activity patterns
  • Trained and evaluated comprehensive machine learning datasets for automated behavioral analysis
  • Used advanced triangulation algorithms to determine position and velocity of mouse limbs in 3D space with sub-millimeter precision

Neuroimaging Code Pipeline

  • Designed and maintained comprehensive collection of neuroimaging analysis scripts for wide-field optical imaging
  • Optimized data processing pipeline achieving 50% speed improvement in analysis workflows
  • Implemented novel analytical approaches including active state segmentation, functional connectivity analysis, and power spectroscopy
  • Organized development using GitHub version control and spearheaded implementation of Agile methodology

Mouse Treadmill Integration System

  • Developed complete hardware/software solution to detect mouse movement while placed on stationary treadmill during neuroimaging
  • Wrote custom interface code from scratch to integrate system with existing Wide Field Optical Imaging platform
  • Implemented real-time activity data integration into current analyses, providing additional behavioral dimension
  • Used Arduino microcontroller programming, MATLAB signal processing, and mechanical design (SolidWorks, Fusion 360)

Major Project Experience

Load-Bearing Exosuit Development

Boeing Senior Design Project | July 2019 – May 2020
  • Developed functional prototype load-bearing exosuit for Boeing manufacturing applications
  • Performed comprehensive mechanical modeling and CAD design using SolidWorks for all components
  • Sourced specialized materials and physically designed multiple iterative prototypes for testing
  • Programmed variable spring model using MATLAB and Python for force optimization
  • Successfully delivered final design providing 15 lbs assistive force to bicep during lifting operations

Jupiter Moon Ice Sampling Mission

NASA L'SPACE Academy Mission Concept Competition | July 2019 – August 2019
  • Designed modular probe system for ice sampling on Jupiter's moons (Europa, Ganymede)
  • Coordinated interdisciplinary team to design optimal sensor placement within spacecraft architecture
  • Created comprehensive COMSOL fluid dynamics models to determine physics of spacecraft design in extreme environments
  • Result: Finalist (Tied for 1st place) out of national competition

Other Professional Experience

Emergency Medical Technician

Abbott EMS | July 2018 – December 2019
  • Responded to 911 emergency calls providing critical patient care in high-stress environments
  • Developed skills in rapid decision-making and team coordination under pressure
  • Gained insight into medical device usage and identified improvement opportunities in emergency care tools

Physics Teaching Assistant

Saint Louis University | January 2018 – May 2020
  • Taught engineering physics concepts to 100+ undergraduate students across multiple semesters
  • Coordinated weekly 3-hour Physics 1 and 2 laboratory sessions
  • Achieved 100% pass rate for Physics 2 laboratory through innovative teaching approaches
  • Developed communication skills explaining complex technical concepts to diverse audiences

Publications & Presentations

Recent Publications (2023-2025)

Jarang, A., Shmuylovich, L., Harunani, M., McGrath, Q., Cerulli, C., Berger, A., Saffari, T., Pet, M. (2025). Multispectral shortwave infrared (SWIR) for equitable assessment of bruising in darkly pigmented skin. SPIE Photonics in Dermatology and Plastic Surgery 2026, San Francisco, CA.
Jarang, A., Shmuylovich, L., Harunani, M., McGrath, Q., Akinjiyan, F. (2025). Multispectral SWIR imaging for equitable pigmentation-insensitive assessment of inflammatory acne in darkly pigmented skin. SPIE Design and Quality for Biomedical Technologies XIX, San Francisco, CA.
Jarang, A., Shmuylovich, L. (2023). Low-cost multi-camera multiplex rapid pathology slide scanner from repurposed 3D printer. Nature Bioengineering for Global Health, Nashville, TN.
McGrath, Q., Jarang, A., Shmuylovich, L. (2024). Transforming a Dermatoscope into a Polarized Imaging Device for Delineating Skin Cancer Margins. SPIE Photonics in Dermatology and Plastic Surgery 2024, San Francisco, CA.
Padawer-Curry, J. A., Siegel, J. S., Jarang, A., Nicol, G. E., McCall, J. G., Bauer, A. Q. (2023). 5-HT2A receptor agonism modifies neurovascular coupling and neuronal network activity in mice. SPIE Neural Imaging and Sensing 2023.
Padawer-Curry, J. A., Bowen, R. M., Jarang, A., Wang, X., Lee, J. M., Bauer, A. Q. (2023). Wide-Field Optical Imaging in Mouse Models of Ischemic Stroke. Neural Repair: Methods and Protocols (pp. 113-151). Springer US.

Total: 6+ peer-reviewed publications in high-impact medical imaging and bioengineering venues, with focus on equitable healthcare technology development.

Research Interests & Future Directions

My research focuses on developing accessible, cost-effective medical imaging technologies that address healthcare disparities. I'm particularly interested in creating imaging systems that work equitably across all skin tones and can be deployed in resource-limited settings. My work combines advanced optical engineering, machine learning, and embedded systems to create practical solutions for real-world medical challenges.

Future research directions include expanding multispectral imaging applications, developing AI-driven diagnostic tools, and creating sustainable, field-deployable medical devices for global health initiatives.