Keerat Kaur Guliani

Keerat Kaur Guliani

MSc. Applied Computing Student

University of Toronto

About Me

I’m a recent graduate of IIT Roorkee, enthusiastic about Interdisciplinary and Applied Research involving Data. I am keen on designing computational solutions for problems in healthcare. I aim to create positive impact through my work, and try to strike a balance in everything I do :)

I started my MS in Applied Computing at the Department of Computer Science, University of Toronto from Fall 2022.

As a person, I’m chirpy- I adore striking conversations with new people and knowing more about them. I am a passionate debater and have represented my University at various levels. I’m involved in the campus journalistic activites and also love playing Badminton. I do well in diverse team-based environments and prize effective communication in my approach.

Feel free to connect!


  • AI for Social Good
  • Causality, Reinforcement Learning
  • Healthcare, Public Policy


  • B. Tech in Civil Engineering(Major), Computer Science(Minor), 2022

    Indian Institute of Technology (IIT) Roorkee

  • AISSCE-Science Stream, CBSE , 2018

    The Mother's International School


  • Aug 2022: Heading over to University of Toronto for Master of Science in Applied Computing, Fall 2022 cohort.

  • May 2022: Graduated from IIT Roorkee.

  • Mar 2022: Our paper “VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning” has been accepted at Elsevier’s Intelligence Based Medicine!

  • Jun 2021: Awarded the DAAD-WISE Fellowship! Will be working remotely (COVID-19) Prof. Frank Hutter at the Machine Learning Lab, University of Freiburg.

  • May 2021: Working as a Data Science intern at Plio.

  • Jun 2020: Will be aiding scientific efforts against COVID-19 by working as a research intern at Dr. Tavpritesh Sethi’s lab.

  • Apr 2020: Accepted as a research intern at Lichtman Lab, IISc! Will be working remotely (COVID-19) with Prof. Jeff Lichtman over the upcoming summer.

  • Sep 2019: Our paper “Long Span Arch Bridges in India: Design Aspects and Aesthetics” has been accpeted at ARCH 2019





Mar 2021 – Mar 2021 Virtual
A high energy, marathon-style, weekend-long event on the theme- Trust, Transparency, Togetherness:Powering Public Data for Communities. I volunteered to contribute as a part of the Synthetic Data Generation Project!

Research Intern (Remote)

Lichtman Lab, Harvard University

Jun 2020 – Jan 2021 Cambridge, MA, USA
To Perform Synaptic Location & Connectivity Detection to get Synaptic Segmentation in the mouse cerebellum to aid Developmental Connectomics research.

Research Intern (Remote)

TavLab, IIIT Delhi

Jun 2020 – Sep 2020 New Delhi, India
Project CoronaActionIndia: Developed an RL environment compatible with OpenAI gym from scratch as a basis for a novel RL pipeline to ensure fair distribution of Vaccines developed against Corona virus. Co-authored two publications, currently under review.

Summer Intern

CBTB Lab, IIT Roorkee

May 2019 – Jul 2019 Uttarakhand, India
Developed machine-learning architectures to classify the EEG Signals into Focal or Non-focal epileptic type, that would increase efficiency & accuracy of epileptic diagnosis. Publication currently under Submission process.


Build a Data Science Web App with Streamlit and Python

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Essential Causal Inference Techniques for Data Science

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Using Python to Access Web Data

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Statistics and Data Analysis in Public Health

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Exploratory Data Analysis

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Agent-based Modeling with NetLogo

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