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Basics

Name Vikas Pandey, Ph.D.
Label Research Scientist
Email pandev2@rpi.edu
Phone (518)-276-2240
Url https://vkp217.github.io
Summary Research Scientist at Rensselaer Polytechnic Institute and Co-PI in the RPI-IBM Artificial Intelligence Research Collaboration (AIRC). Working at the intersection of biophotonics, computational modeling, time-resolved functional imaging, and machine learning for oncology and infectious disease diagnostics.

Work

  • 2024.08 - present
    Research Scientist
    Rensselaer Polytechnic Institute
    Centre for Modeling, Simulation & Imaging in Medicine (CeMSIM) & Biomedical Engineering
    • In vivo non-invasive optical imaging for drug internalization quantification in HER2+ tumor xenografts via Fluorescence Lifetime Imaging (FLI)
    • Developing deep learning and AI hardware accelerator algorithms for real-time FLI for image-guided surgery
    • Developing macro- and mesoscopic optical imaging setups including single-pixel and light-sheet based systems
    • FLI data processing using Deep Learning models and Hierarchical Bayesian inferences
    • Co-Principal Investigator in the RPI-IBM Artificial Intelligence Research Collaboration (AIRC)
    • Mentoring 1 PhD student and guiding 2 undergraduate students
  • 2022.01 - 2024.01
    Board Member
    Valetude Primus Healthcare Pvt. Ltd.
    New Delhi, India
    • Strategic financial and operational planning
    • Scientific expertise in technology and product development
  • 2022.01 - 2024.08
    Postdoctoral Research Associate
    Rensselaer Polytechnic Institute
    Biomedical Engineering & CeMSIM
    • In vivo non-invasive optical imaging for drug internalization quantification in HER2+ tumour xenografts via FLI
    • Machine learning model development to simplify and accelerate analysis of complex inverse problems in FLI
  • 2015.05 - 2021.12
    Co-founder, Managing Director
    Valetude Primus Healthcare Pvt. Ltd.
    New Delhi, India
    • Led multiple healthcare technology development projects as Principal Investigator; developed prototypes and full products
    • Conducted multi-centric clinical validations; received CDSCO certification for TB-product from the Drug Controller General of India
    • Secured patents in US, UK, South Africa, and India for four innovative technologies
    • Managed stakeholder relationships including investors, manufacturers, customers, regulators, and academics
  • 2011.06 - 2012.12
    Business Analyst
    Evalueserve Pvt. Ltd.
    New Delhi, India
    • Developed statistical models for forecasting and prediction in data science projects
    • Performed competitive benchmarking and data analysis to inform business strategy

Education

  • 2014.01 - 2020.01

    New Delhi, India

    Ph.D.
    Indian Institute of Technology, Delhi
    Chemical Engineering
  • 2006.07 - 2011.06

    New Delhi, India

    Bachelor and Master of Technology (Dual Degree)
    Indian Institute of Technology, Delhi
    Biochemical Engineering and Biotechnology

Awards

Grants

Skills

Computational Biophotonics
Fluorescence Lifetime Imaging (FLI)
Physics-guided Neural Networks
Hierarchical Bayesian Inference
Amortized Inference
Deep Learning
Optical Instrumentation
Time-resolved Optical Imaging
Single-pixel Imaging
Mesoscale Light-sheet Platforms
NIR and SWIR Imaging
Fluorescence Molecular Tomography
AI Hardware & Software
FPGA-accelerated Deep Learning
Neural Network Compression
Real-time Image Processing
PyTorch
Python (pyfli-lib)

Languages

English
Fluent
Hindi
Native speaker
Spanish
Basic

Interests

Coding
Open-source development
Problem solving
New technologies
Traveling
Exploring new places
Beach destinations
Games
Pool
Chess

References

Professor Xavier Intes
Rensselaer Polytechnic Institute, Department of Biomedical Engineering
Professor Margarida Barroso
Albany Medical College, Molecular and Cellular Physiology Department

Projects

  • 2026.01 - present
    pyFLI — Open-source Fluorescence Lifetime Imaging Library
    Authored and published pyfli-lib on PyPI, an open-source Python package for unified, scalable processing and analysis of Fluorescence Lifetime Imaging data.
    • Open-source
    • PyPI package
    • FLI data processing
  • 2025.01 - present
    RPI-IBM AIRC: Neural Network Accelerator for Real-time FLI
    Co-PI developing FPGA-accelerated deep learning models for real-time fluorescence lifetime imaging in image-guided surgery.
    • FPGA acceleration
    • Neural network compression
    • Real-time FLI
  • 2015.01 - 2021.01
    SeeTB — Portable TB Diagnostic Device
    Developed a compact TIRF-based fluorescence device for tuberculosis diagnosis in resource-limited settings. Received CDSCO medical device certification in India.
    • CDSCO certified
    • Resource-limited settings
    • Field-deployable