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!

Interests

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

Education

  • 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

News

  • 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

Experience

Always updated on LinkedIn.

Accomplishments

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

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

Other Projects

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