Harmandeep Kaur Gill

Harmandeep is a third-year student at the University of Toronto interested in computational astrophysics and doing her research on binary black hole mergers. She has been a part of several community clubs and initiatives at U of T, such as United for Literacy, Women in Computer Science, Statistics and Mathematics, holding senior leadership positions in Google Developer Student Clubs, U of T Machine Intelligence Student Team and Data Science and Statistics Society. 

Isabella Tang

Isabella is an Industrial Engineering student at the University of Toronto, pursuing minors in Artificial Intelligence, Engineering Business, and Advanced Manufacturing. Having witnessed firsthand the challenges seniors face in managing their health and adhering to medication routines, Isabella co-founded RapidCore, a startup that developed CoreCare, an innovative prescription drug storage device aimed at simplifying medication management for seniors and alleviating the stress on their caregivers. In addition to participating in two research labs within the Department of Mechanical and Industrial Engineering at the University of Toronto, she also serves as Vice President of Outreach for the Women in Science and Engineering (WISE) U of T chapter, where she fosters interest in STEM among young women through events and mentorship. As External Relations Director for the Institute of Industrial and Systems Engineers (IISE) U of T Chapter, she builds partnerships to support professional growth. Additionally, as director for the University of Toronto Robotics Association (UTRA), she also leads initiatives to advance robotics education and engagement. Through these varied experiences, Isabella is dedicated to driving innovation and creating positive change across multiple fields. She is continually seeking opportunities to make an impact and empower others. 

Jessica is a third-year Machine Intelligence student determined to drive positive change. Her curiosity for uncovering parallels between artificial neural networks and human cognition inspires her research in cognitive neuroscience, where she models biological control systems as artificial neural networks. Additionally, at the KITE Research Institute, she is developing a novel pipeline to automate feedback for virtual physical rehabilitation using large language models. Since founding Illuminaite Academy in 2020, Jessica has led a passionate team of 20, attracting hundreds of participants from over 40 cities worldwide, with a mission to demystify computer science for all. 

Riya Mathur

Riya is a third-year Engineering Science student specializing in Robotics at the University of Toronto. Her journey has been marked by a blend of technical and innovative research. She has developed an implantable piezoelectric energy harvester and conducted advanced DFT analysis to enhance lithium-ion battery performance. This year, her team designed a pneumatic waste management system for Bangladesh, demonstrating her ability to address global challenges with creative solutions. Beyond her technical achievements, she is dedicated to mentoring younger engineering students, actively contributing to a design team, and is currently pursuing a front-end developer certification from Meta. Her vision is to harness her expertise in robotics and engineering to create sustainable technologies that significantly impact the world, with a particular focus on advancing healthcare solutions. 

Sarvnaz Ale Mohammad

Sarvnaz is a third-year Engineering Science student specializing in Machine Intelligence with a passion for healthcare, data science, entrepreneurship, and software development. She has worked at the Mount Sinai Cath Lab, where she developed signal processing algorithms for a non-invasive heart failure monitoring device. Her research abstract was published at the 2024 Canadian Cardiovascular Congress. On campus, she serves as the Co-Chair of WISENC, a national conference hosted by Women in Science and Engineering at U of T. She is also the software co-lead for iGEM, a synthetic biology research design team, where her team is generating and validating novel synthetic plasmids using machine learning models. Their research will be presented at the international Jamboree in Paris in October 2024. Sarvnaz aims to innovate for social good in her areas of interest and contribute to building supportive, inclusive environments in STEM.