Hello, I'm

Mohan Kumar
Gajendran

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

About Me

Portrait of Mohan Kumar Gajendran

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.

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0Years of Research

02 — Experience

Work Experience

Jul 2024 — Present

Research Scientist

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

Postdoctoral Fellow

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

Graduate Researcher

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

Graduate Researcher

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

Guest Researcher

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

Research Intern

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

Research Intern

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.

03 — Research

Research Interests

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Medical Imaging & AI

Deep neural architectures for medical image semantic segmentation, adaptive preprocessing of retinal fundus imaging, and AI-assisted ophthalmic diagnostics.

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Biomedical Signals

Machine-learning frameworks for electroretinography-based early-stage glaucoma detection and ECG classification using deep transfer learning.

◈

Computational Fluid Dynamics

From supersonic nozzle design to cerebrospinal fluid transport in the optic nerve, and CFD-driven modeling of wind turbine performance and wakes.

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Machine Learning & XAI

Explainable AI frameworks, predictive modeling of stochastic systems, retrieval pipelines for RAG, and recurrent networks for time-series forecasting.

04 — Background

Education & Recognition

Education

  • 2017 — 2023
    Interdisciplinary Ph.D., Engineering & MathematicsUniversity of Missouri–Kansas City — ML-based modeling of stochastic systems
  • 2023 — Present
    Post Graduate Program, AI & Machine LearningPurdue University
  • 2017 — 2019
    M.S., Mechanical EngineeringUniversity of Missouri–Kansas City
  • 2014 — 2016
    Aerospace Engineering (Joint Program)Nanyang Technological University & Technical University of Munich
  • 2010 — 2014
    B.E., Aeronautical EngineeringHindustan University, Chennai

Achievements

  • 2026
    3rd Prize, ARVO Eye Pitch CompetitionFor the patent-pending ML framework for early-stage glaucoma detection
  • 2024
    Invited SpeakerKeynote Symposia, USA
  • 2023
    Founding DirectorGraduate Research Development Committee, UMKC
  • 2022–23
    Preparing Future Faculty FellowSchool of Education, University of Missouri–Kansas City (twice)
  • 2021
    Invited TalkAnnual Ophthalmology Symposium, UMKC
  • 2017
    Invited by AirbusBuilding the Future of Flight, France
  • 2016
    Singapore Airlines SponsorshipAirbus Fly Your Ideas Competition

05 — Contact

Let's Connect

Open to collaborations, speaking invitations, and conversations about research. Based in Kansas City, Missouri.