Medical Imaging & AI
Deep neural architectures for medical image semantic segmentation, adaptive preprocessing of retinal fundus imaging, and AI-assisted ophthalmic diagnostics.
Hello, I'm
Researcher · |
Research Scientist in the Department of Ophthalmology at UMKC, applying machine learning, large language models, and computational modeling to vision science, biomedical signals, and fluid dynamics.
01 — About

I am a Research Scientist in the Department of Ophthalmology at the UMKC School of Medicine, based in Kansas City, Missouri. My current work spans mRNA gene-expression analysis for eye diseases and LLM-based retrieval-augmented systems for processing medical histories and generating neuroscience research articles.
I hold an interdisciplinary Ph.D. in Engineering and Mathematics from the University of Missouri–Kansas City, focused on machine-learning-based predictive modeling of stochastic systems. My path runs from aeronautical engineering and CFD research at TU Delft, NTU Singapore, and Hindustan Aeronautics to a decade of machine learning — including a patent-pending wavelet-based model for early-stage glaucoma diagnosis.
02 — Experience
Jul 2024 — Present
Department of Ophthalmology, UMKC · Kansas City, USA
mRNA gene-expression analysis for eye diseases (R/Bioconductor) — identifying biomarkers through differential gene-expression analysis. Built an LLM framework with retrieval-augmented generation for processing medical histories and neuroscience research articles using the OpenAI API, LangChain, ElasticSearch, and Kafka.
Aug 2023 — Jun 2024
Department of Ophthalmology, UMKC · Kansas City, USA
Machine learning on electroretinography (ERG) signals — automated identification of amplitude and implicit-time features, CNN models in PyTorch, and advanced signal processing to improve ERG data quality and interpretability, validated with clinical researchers.
2021 — 2023
UMKC · Kansas City, USA
Developed a patent-pending wavelet-based machine learning model for early-stage glaucoma diagnosis that outperforms state-of-the-art methods, engineering multifractal wavelet-leader features to capture subtle cell-specific changes in ERG signals.
Jun 2020 — May 2021
UMKC · Kansas City, USA
CFD analysis of open-channel flow over complex terrain and bridge structures — LIDAR-derived geometry, large-eddy simulations, and scaled models built in partnership with civil engineering professionals.
Jul 2016 — Jun 2017
Delft University of Technology · Delft, Netherlands
Designed and implemented an FEM-based framework for solving variational multi-scale problems in MATLAB and C++, with sub-grid scale modeling and turbulence modeling.
Jul 2015 — Dec 2015
Nanyang Technological University · Singapore
Conceptual design of a blended-wing-body aircraft demonstrating significant drag reduction over existing designs, validated through CFD simulation and CAD modeling.
Oct 2013 — Apr 2014
Hindustan Aeronautics Limited · Bangalore, India
Root-cause analysis and numerical optimization of the radial diffuser and injector of a Turbomeca turboshaft engine using ANSYS CFX and Fluent, eliminating exhaust temperature shoot-up.
04 — Background
05 — Contact
Open to collaborations, speaking invitations, and conversations about research. Based in Kansas City, Missouri.