About me

Who Am I?

I am a PhD Candidate in the department of Computer and Information Sciences at the University of Delaware. I am currently working as a Research Assistant in the Healthy lAIfe Lab, under the advisement of Prof. Rahmatollah Beheshti.

I work in the area of Machine Learning and Health Data Science. As a PhD candidate in Computer Science, I work on advanced machine learning problems with clear implications on individuals’ health. My research interest is in Artificial Intelligence (AI) and its interdisciplinary applications in healthcare. Within AI, I am interested in problems related to natural language processing, representation learning, predictive modeling with supervised and semi-supervised deep learning models. I am also interested in improving the fairness and explainability of AI systems to enhance their usability and adaptability.

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My Specialty

My Skills

  • Programming, Python | R | Keras | PyTorch | tensorflow | Java

  • Machine Learning, Neural Networks | Recurrent Neural Network | Attention Models | Generative Adversarial Network | Convolutional Neural Network | Random Forest | k-means | Gradient Boosting

  • UI, R shiny

  • Database, SQL

Honors and Awards

Honors and Awards

  • Dissertation Fellowship, 2022-23 - Awarded by Graduate College, University of Delaware in recognition of the top doctoral students across campus based on nominations from graduate programs and recommendations from a faculty review committee.

  • Distinguished Graduate student Award, 2020 - Awarded by CIS, University of Delaware CIS 2020 in recognition of graduate students who distinguished themselves through exceptional scholarship, research and noteworthy performance in leadership and service.

  • CRA-WP Grad Cohort for Women Scholarship, 2021 and 2022

Education

Education

University of Delaware - CGPA: 4.0

2018-Present

Thapar University, India - CGPA: 8.85/10

2012-2014

Punjabi University, India - 73%

2006-2010

Research

Research Projects

  • MIMIC-IV Data Pre-processing pipeline,

    • Developed an open-source Jupyter Notebook interface to clean and pre-process MIMIC-IV EHR data for downstream prediction tasks using machine learning model. (Github)(Published)

  • Influence of social determinants on BMI trajectories of children,

    • Clustered BMI trajectories using Dynamic Time Warping to discover 5 different clusters and studied the influence of Social Determinants of Health for each cluster for childhood obesity prediction. (Under Revision)

  • Obesity Prediction with EHR Data,

    • Predict future BMI for children using pediatric EHR data using LSTM attention-based models. Explained deep model predictions using attention layer weights. (Published)
    • Developed encoder-decoder LSTM model with generative adversarial network to perform semi-supervised prediction model using labelled and unlabeled samples in longitudinal EHR data. (Published)
    • Developed autoencoder LSTM model with generative adversarial network to perform both imputation and prediction for longitudinal EHR data. (Published)
Publications

Publications

  • Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, and Rahmatollah Beheshti. An Extensive Data Processing Pipeline for MIMIC-IV. In Proceedings of the 2nd Machine Learning for Health symposium, volume 193 of Proceedings of Machine Learning Research, pages 311–325. PMLR. 2022 (View)

  • Raphael Poulain, Mehak Gupta, and Rahmatollah Beheshti. Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. Machine Learning for Healthcare Conference, pages 1–21, 2022. (View)

  • Mehak Gupta, Thao-Ly T Phan, H Timothy Bunnell, and Rahmatollah Beheshti. Obesity prediction with ehr data: A deep learning approach with interpretable elements. ACM Transactions on Computing for Healthcare (HEALTH), 3(3):1–19, 2022. (View)

  • Gupta, M., Poulain, R., T. Phan, T.-L., Bunnell, H. T. and Beheshti, R. Flexible-window Predictions on Electronic Health Records. In Proceedings of the AAAI Conference on Artificial Intelligence, 36(11):12510-12516. (IAAI-Track) (View)

  • Poulain, R., Gupta, M., Foraker, R. and Beheshti, R. Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). (View)

  • Gupta, M., T. Phan, T.-L., Bunnell, H. T. and Beheshti, R. Concurrent Imputation and Prediction on EHR data using Bi-Directional GANs. In Proceedings of the 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. (View)

  • Gupta, M., Aggarwal, R. Transforming Relational Database to Graph Database Using Neo4j. In Proceedings of the Second International Conference on Emerging Research in Computing, Information, Communication and Applications, Bangalore, India.

Experience

Work Experience

Data Science Fellow, Tech Impact (Delaware Data Innovation Lab) Sep, 2021 - May, 2022

  • Analyzed DHIN health claims by aggregating individual health claims at census tract level to study the prevalence of 27 chronic disease for Delaware. Published R-shiny report to communicate findings two technical and non-technical audience.
  • Collected census level data for Delaware from ACS 5-year estimates and other environmental and social variables with individual-level health claims data to study social determinants of health for 27 chronic diseases. Published API for access by community.
  • Developed R shiny webpage to determine eligibility for housing assistance in Delaware.

Associate Consultant, Software AG, Bangalore Aug, 2014 - Mar, 2017

  • Johnson & Johnson (J&J) Consumer R&D, Developed Drag and Drop plugin using Angular JS for J&J web application.
  • Standard Chartered Bank (SCB), Key developer for transaction banking services.
  • Solution Book (SB), Designed Java/slang interfaces for interaction between various applications. Designed database architecture and JSON files and developed REST services.
  • Kier U.K., Developed SOAP web services and canonical documents for data exchange between systems.
  • J&J CAPRI, Developed the read through and write behind logic for asynchronous data synch using Terracotta caching.

System Engineer, Infosys Ltd, Pune Jun, 2010 - July, 2012

  • Aetna Health Insurance, Worked on client side in Rating Support Application using mainframe technologies – COBOL, CICS, DB2.
  • Migrated Aetna application from tiered architecture to Service Oriented Architecture.
  • Performed XML migrations for features using XSL. Performed top-k query optimization rating application.
Teaching

Teaching and Mentoring Experience

Research Mentoring, University of Delaware 2019-2022

  • Hartima Manchanda, Developed in-house pipeline to transform OMOP-EHR data to FHIR and develop proof-of-concept SMART-FHIR app to showcase output of EHR data prediction models.
  • Brennan Gallamoza, Pranjal Dhakal, Nicolas, Cutrona, Co-authored a research paper “An Extensive Data Proprecissing Pipeline for MIMIC-IV”
  • Raphael Paoulin, Provided guidance on pre-processing techniques and evaluating an approach and presenting in a research paper (IEEE-BIBM ‘2021)
  • Raphael Paoulin, Introduced to the EHR data and provided guidance on implementing and evaluating an approach and presenting in a research paper. (IAAI ‘2021)

Graduate Teaching Assistant, University of Delaware 2018-19

  • Led weekly labs, guided and provided assistance to students during laboratory/office hours. Explained concepts, graded assignments and final exams for –
    • INTRO TO SOFTWARE ENGINEERING (Course Code: CISC275)
    • MACH ORGANZTN & ASSEMBLY LANG (Course Code: CISC260)

Lab Instructor, Thapar University 2013

  • Led weekly labs, guided and provided assistance to students during laboratory hours. Created lab assignments and exams and conducted final vocabulary tests for –
    • Introduction to Relational Databases
Leadership

Leadership

  • CIS Senator, Graduate Student Government 2022-Present

  • Member of Advisory Committee for College of Engineering - CIS 2021-Present

  • Women in Engineering CIS Representative 2020-Present

  • Member (Peer Mentor), EmPOWER CIS University of Delaware. 2020-Present

Service

Volunteer

  • Reviewer, Machine Learning 4 Health 2022 (3 papers)

  • Research Grant Contributor, Participated in discussion and writing of “Responsible AI to combat childhood obesity”, with PI Rahmat Beheshti, “NIH (R01)”

  • Reviewer, for ACM-Conference on Health, Inference and Learning (3 papers)

  • Reviewer, for Childhood Obesity Journal

  • Volunteer Instructor, Women in Engineering, Serviam Girls Academy.