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Education, research experience, publications, awards, and skills. Download the full PDF using the icon above.

Basics

Name Aarti Darji
Label M.S. Computer Science Student, NYU Courant
Email aartidarji2104@gmail.com
Phone (469) 927-2698
Url https://Aarti-Darji.github.io
Summary Researching multimodal representation learning and biomedical data science, with a background in human-computer interaction and tangible computing.

Education

  • 2026.01 - 2027.12

    New York, NY

    M.S.
    New York University, Courant Institute of Mathematical Sciences
    Computer Science
  • 2021.08 - 2025.05

    Arlington, TX

    B.S.
    University of Texas at Arlington
    Data Science, Honors (concentration in Psychology, minor in Mathematics)
    • Python for Data Science 1 & 2
    • Data Mining
    • Machine Learning
    • Statistical Methods 1 & 2
    • Statistical Inference
    • Behavioral Genetics

Skills

Programming Languages
Python R SAS MATLAB SQL JavaScript C++ HTML/CSS
Libraries & Frameworks
React.js Node.js Flask PyTorch Lightning TensorFlow CUDA Pandas Scanpy OpenCV Matplotlib Seaborn ggplot2 tidyverse
Tools & Platforms
Git GitHub Linux Bash Slurm / HPC FSL FreeSurfer ImageJ QuPath Figma Microsoft Office

Work

  • 2026.01 - Present
    Graduate Research Assistant — Self-Supervised Learning for Mammography Imaging
    New York University
    Advisor: Dr. Yiqiu Shen
    • Fine-tuned mammogram foundation models on NYU mammograms with breast-level cancer labels using a custom HDF5 dataloader, stratified sampling, and data augmentations.
    • Conducted a hyperparameter sweep across learning rates, sampling ratios, and batch size configurations for pre-trained foundation models.
  • 2025.06 - Present
    Research Assistant I — Analyzing Gulf War Illness in Veterans
    UTHealth Houston
    Advisor: Dr. Deborah Little
    • Curated and maintained raw and processed MRI data for Gulf War Illness studies in veterans.
    • Performed diffusion MRI analysis using FSL and FreeSurfer for structural and tract-based insights.
  • 2024.06 - 2025.05
    Undergraduate Research Intern — Agentic AI for Medical Imaging
    Harvard Medical School, HIDIVE Lab
    Advisor: Dr. Nils Gehlenborg
    • Developed a chatbot interface for Vitessce, a visual integration tool, enabling natural language exploration of multiplexed immunofluorescence (mIF) datasets.
    • Built a multi-agent framework supporting biomarker exploration within the tumor microenvironment (TME) and localization of regions of interest (ROIs).
    • Implemented few-shot learning and a RAG approach for accurate information retrieval and structured output.
  • 2023.05 - 2024.05
    Undergraduate Research Assistant — Self-Supervised Learning for Medical Imaging
    Health Data Science Lab, UT Arlington
    Advisor: Dr. Jacob Luber
    • Created an integrated search framework retrieving the most similar spatial proteomics (CODEX/PhenoCycler) imaging from an input histopathology slide.
    • Developed and trained a Variational Autoencoder (VAE) on HPC clusters to obtain latent spaces of patches for similarity search.
    • Conducted validation and ablation studies showing the potential of search engines to aid clinicians in diagnosis and treatment decisions.
  • 2023.01 - 2024.05
    Undergraduate Research Assistant — Hybrid Design and Fabrication
    Hybrid Atelier, UT Arlington
    Advisor: Dr. Cesar Torres
    • Lasercut and 3D-printed molds to develop silicone samples with different micro-textures, studying the effect of haptic perception on emotion and decision making.
    • Built a web application with React and a Flask API to collect user responses and study texture perception of silicone samples.
    • Developed a layered silicone composite sensor with unique electrode designs to study new gesture creation and cross-modal correspondences.
    • Achieved 97% accuracy training a CNN to predict user gestures from sensor-reading heatmaps.
  • 2021.08 - 2022.06
    Undergraduate Research Assistant — Cognitive Science
    Controlled Attention and Memory Lab, UT Arlington
    Advisors: Dr. Matthew Robison and Dr. Pedro Maia
    • Wrote Python analysis code surfacing average reaction time and pupil diameter/gaze shift from eye-tracking devices across 300+ participants.
    • Calculated the sample entropy of pupil diameter to determine its regularity based on goal type, feedback, and reward.

Publications

Papers
  • 2024.07.01
    SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer With Contextual Similar-Patient Search
    IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) 2024
    With Jai Prakash Veerla, Partha Sai Guttikonda, Amir Hajighasemi, Jillur Rahman Saurav, Cody T. Reynolds, Mohamed Mohamed, Mohammad S. Nasr, Helen H. Shang, and Jacob M. Luber.
  • 2024.07.01
    Multimodal Pathology Image Search Between H&E Slides and Multiplexed Immunofluorescent Images
    IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) 2024
    Co-first author, with M. D. Saurav, Mohammad S. Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, Michael Robben, Helen H. Shang, and Jacob M. Luber.
  • 2024.06.01
    Revolutionizing Cancer Research with AI: Health Data Science Lab, UT Arlington
    XRDS: Crossroads, The ACM Magazine for Students, 30(4), 64–65
    Invited article on computational pathology research at the Health Data Science Lab.
  • 2024.06.01
    Sentura: Understanding the Cognitive Affordances of Silicone Microtextures in Tangible User Interface Design
    ACM Conference on Creativity & Cognition (C&C) 2024 — Extended Abstract
    With Gunnika Kapoor, Marisa N. Fernandez, and Cesar Torres.
  • 2024.06.01
    Trace to Touch: Eliciting Gestures from Capacitive Touch Electrodes
    ACM Conference on Creativity & Cognition (C&C) 2024 — Extended Abstract
    With Gunnika Kapoor and Cesar Torres.
Talks
  • 2024.10.01
    LLM-Supported Exploration and Analysis of 3D-Microscopy Imaging
    Bio+MedVis Challenge @ IEEE VIS 2024 — Talk & Poster
    With Eric Moerth, Morgan Turner, David Kouril, Jacob Luber, and Nils Gehlenborg.
Posters
  • 2025.07.01
    Ask and Reveal: Natural Language-Driven Analysis of Multiplexed Immunofluorescence Imaging
    Intelligent Systems for Molecular Biology (ISMB) 2025 — Poster
    With Eric Mörth, Morgan Turner, David Kouřil, and Nils Gehlenborg.
  • 2024.05.01
    Integrated Search Framework for Histopathology: From H&E to Multiplexed Immunofluorescence
    Intelligent Systems for Molecular Biology (ISMB) 2024 — Poster
    Co-first author, with Amir Hajighasemi, M. D. Saurav, Mohammad S. Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, Michael Robben, Helen H. Shang, and Jacob M. Luber.

Awards

Volunteer