Keerat Kaur Guliani

Keerat Kaur Guliani

Incoming Master’s 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’ll be starting 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!

Interests

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

Education

  • 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

News

  • 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

Experience

 
 
 
 
 

Volunteer

DataKind

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.

Courses

Build a Data Science Web App with Streamlit and Python

See certificate

Essential Causal Inference Techniques for Data Science

See certificate

Using Python to Access Web Data

See certificate

Statistics and Data Analysis in Public Health

See certificate

Exploratory Data Analysis

See certificate

Agent-based Modeling with NetLogo

See certificate

Projects

*