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 Machine Learning Research. In the past, I have enjoyed working 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 like to keep my hobbies versatile, from parliamentary debating to painting to badminton. I do well in diverse team-based environments and prize effective communication in my approach.

Feel free to connect!


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


  • MSc. in Applied Computing, 2024

    Department of Computer Science, University of Toronto

  • 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


  • May 2022: Starting my applied research internship at Vanguard AI Research and Enterprise AI for the next 8 months.

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

  • May 2022: Graduated First Division with Distinction 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


Always updated on LinkedIn.


Awards & Honours

  • Manmohan Das Seth Department Gold Medal, IIT Roorkee (2022)
  • Prof. Ranvir Singh Shastry Cash Prize for obtaining the second highest CGPA amongst the graduating girl students of all B.Tech. programmes, IIT Roorkee (2022)
  • Best Project Award, Department of Civil Engineering - Planning and Design of Smart Civil Infrastructures for Dehradun
  • Madhusudan Dayal Mithal Medal for securing the highest CGPA amongst the graduating students of B.Tech. (Civil Engineering), IIT Roorkee (2022)
  • Shri Shiv Nandan Swaroop and Avadh Narayan Bhatnagar Cash Prize for securing the highest CGPA amongst the graduating students of B.Tech. (Civil Engineering), IIT Roorkee (2022)
  • Prabhakar Swarup Civil Engineering Award for securing the highest CGPA amongst the graduating students of B.Tech. (Civil Engineering), IIT Roorkee (2022)
  • Rai Bahadur Sohan Lal Bhatia Medal for securing the highest CGPA amongst the graduating students of B.Tech. (Civil Engineering), IIT Roorkee (2022)
  • DAAD-WISE 2021 Scholarship, Supervisor: Dr Frank Hutter (2021)
  • Jagdish Prasad & Shail Goyal Excellence IITR Heritage Foundation Award and Scholarship for outstanding academic, co-curricular and extra-curricular achievements (2021)
  • ENCORE Scholarship for being amongst the top 10 students in Third Year B.Tech based on merit (2021)
  • Summer Research Fellowship by the Indian Academy of Sciences (2020)
  • All-India Rank 7964, Joint Entrance Examination(Advanced) among 1,50,000 students (2018)
  • All-India Rank 7130, Joint Entrance Examination(Mains) among 12,00,000 students (2018)
  • All-India Rank 14558 and Category Rank(UR) 8891, National Eligibility cum Entrance Test (Medicine) among 13,26,000 students (2018)
  • National Talent Search Examination Scholar (2016)

Online Courses

Build a Data Science Web App with Streamlit and Python

See certificate

Essential Causal Inference Techniques for Data Science

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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

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Other Projects