About Me

I am a rising junior at Brown University studying Artificial Intelligence in Health Informatics. I seek to leverage data to its fullest potential to improve human health, whether that means helping patients, physicians, or healthcare systems.

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Interests

Education

Coursework

Awards

Certifications

  • Python AI/ML
    PyTorch, PyTorch Geometric, Tensorflow, Scikit-learn, WandB, HuggingFace Transformers
  • Data Wrangling & Visualization
    SQL, Unix, NumPy, Matplotlib, Seaborn, Julia
  • Biostatistics
    Stata, SPSS, R
  • Cheminformatics
    RDKit, Biopandas
  • Developer Tools
    GitHub, VS Code, Docker, Jupyter Notebook
  • Web Development
    HTML, CSS, JavaScript
  • Medical Ontologies
    ICD, SNOMED, OMOP, UMLS
  • Languages
    English, Spanish, Gujarati
  • Miscellaneous
    Vocal Music (A Cappella & Hindustani Classical), Beatboxing, Photography
  • Multimodal Learning
    Integration of image, video, and sequence data for prediction/inference
  • AI for Real-Time Data Streams
    Real-time insight from continuous physiological waveform & video data
  • Graph Representations
    Knowledge Graphs, Graph Neural Networks
  • Natural Language Processing
    Text mining, information extraction, and knowledge discovery
  • Learning Health Systems
    Data for one patient informs care of the next, Charles Friedman
  • In-Silico Drug Design
    AI for drug discovery, repurposing, and development
  • Patient Care
    Building longitudinal relationships through vulnerability, narrative medicine
  • Innovation
    SaMD, Wearables for public health & preventative care
  • Brown University
    Artificial Intelligence in Health Informatics, ScB.
    2023-2027
  • Abington Heights High School
    2019-2023
  • Deep Learning
    MLPs, CNNs, RNNs (LSTM/GRU), Transformers, REINFORCE, Diffusion
  • Computational Biology & Medical Bioinformatics
    Haplotype phasing, MCMC, AlphaFold, LD, GWAS
  • Health Informatics
    JuliaLang, OMOP CDM, HL7 FHIR, Evaluation Methods, Sociotechnical systems
  • Principles of Physiology (w/ Lab)
    Somatic Motor, Circulatory, Renal, GI, Pathophysiology
  • Biochemistry
    Metabolic Pathways, Regulation, Protein Structure, Visualization
  • Chemistry (w/ Lab)
    Organic Chemistry (I & II), Inorganic Chemistry, Lab Techniques
  • Mathematics
    Calculus-Based Statistics, Linear Algebra, Biostatistics, Decision Theory, Mechanics
  • Computational Theory
    Discrete Math, Data Structures & Algorithms, Time Complexity
  • Humanities
    Medical Anthropology, Academic Essay-Writing
  • Presidential Volunteer Service Award (PVSA)
    2025, 2020-2022
  • Sigma Xi Associate Membership
    2022-
  • CITI Program
    Expires 2028: Conflicts of Interest
    Expires 2027: HSP, Good Clinical Practice, Data or Specimens Only Research, Lifespan IRB Membership
    Expires 2025: HIPAA Annual Renewal
  • Coursera
    Mar 2024: Generative AI: Impact, Considerations, and Ethical Issues (IBM)
  • Biostatistics - Catalyst Medical Consulting
    Jun 2023: Advanced Catalyst Workshop