SUDS Research Day 2022

SUDS Research Day showcases the outstanding research conducted by our SUDS Scholars.

This year’s Research Day is set for August 11, 2022. We will be inviting student supervisors and faculty from across our DSI community. 

Celebrate our summer undergraduate data science SUDS researchers and learn about the innovations of tomorrow!

Event Room: Seminar Room 9014/9016 (9th floor), 700 University Avenue, Toronto

Program
9:30 – 9:35 am
Welcome

Prof. Laura Rosella, Associate Director, Education & Training, Data Sciences Institute
9:35 – 10:05 am
Keynote

Dr. Jared Simpson, Ontario Institute for Cancer Research
10:05 – 11:05 am
SUDS Scholars presentations
11:05 –11:15 am
BREAK
11:15 AM – 12:15 pm
SUDS Scholars presentations
12:15 – 1:15 pm
Lunch and networking
1:20 – 1:30 pm
Awards and closing remarks
Program

SUDS Scholar

SUDS Research Opportunity and Supervisor

Molly Borritt

McGill University
Molly Borritt

McGill University
Supporting Canadian Apprentices in the Construction and Industrial Sectors: Genetic and Epigenetic Analyses of Mental Health

Behdin Nowrouzi-kia, Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, UofT
Supporting Canadian Apprentices in the Construction and Industrial Sectors: Genetic and Epigenetic Analyses of Mental Health

Behdin Nowrouzi-kia, Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, UofT
Hriday Chheda

University of Toronto
Hriday Chheda

University of Toronto
Analyzing the performance of community detection algorithms in social networks and random graphs

Aref Samin, Mechanical & Industrial Engineering, Faculty of Applied Science & Engineering, UofT
Analyzing the performance of community detection algorithms in social networks and random graphs

Aref Samin, Mechanical & Industrial Engineering, Faculty of Applied Science & Engineering, UofT
Linxi Chen

University of Toronto
Linxi Chen

University of Toronto
Modeling heterogeneous covariance patterns in high-dimensional brain imaging data.

Jun Young Park, Statistical Sciences, Faculty of Arts & Science, UofT
Modeling heterogeneous covariance patterns in high-dimensional brain imaging data.

Jun Young Park, Statistical Sciences, Faculty of Arts & Science, UofT
Pan Chen

University of Toronto
Pan Chen

University of Toronto
Investigating Data Features for Reproducibility of Robust Educational Data Models

Michael Liut, Mathematical & Computational Science, University of Toronto Mississauga, UofT
Investigating Data Features for Reproducibility of Robust Educational Data Models

Michael Liut, Mathematical & Computational Science, University of Toronto Mississauga, UofT
Linxia Li

University of Toronto
Linxia Li

University of Toronto
Sensitivity Testing of Canadian Insurance Data

Silvana Pesenti, Statistical Sciences, Faculty of Arts & Science, UofT
Sensitivity Testing of Canadian Insurance Data

Silvana Pesenti, Statistical Sciences, Faculty of Arts & Science, UofT
Zhijian Ling

University of Toronto
Zhijian Ling

University of Toronto
ServiceMiner: Automated Data-Driven Simulation Mining in Service Systems

Dmitry Krass, Joseph L. Rotman School of Management, UofT
ServiceMiner: Automated Data-Driven Simulation Mining in Service Systems

Dmitry Krass, Joseph L. Rotman School of Management, UofT
Cameron Dufault

McMaster University
Cameron Dufault

McMaster University
AI classification of cancer patients into novel YAP-dependent subtypes.

Kieran Campbell, Lunenfeld-Tanenbaum Research Institute
AI classification of cancer patients into novel YAP-dependent subtypes.

Kieran Campbell, Lunenfeld-Tanenbaum Research Institute
David Fang

University of Toronto
David Fang

University of Toronto
Understanding language use and inference through text mining

Sam Maglio, Management, University of Toronto Scarborough, UofT
Understanding language use and inference through text mining

Sam Maglio, Management, University of Toronto Scarborough, UofT
Yutong Lu

University of Toronto
Yutong Lu

University of Toronto
Advance causal inference analysis in R: A software Review

Kuan Liu, Dalla Lana School of Public Health, U of T
Advance causal inference analysis in R: A software Review

Kuan Liu, Dalla Lana School of Public Health, U of T
Zhiyuan Lu

University of Toronto
Zhiyuan Lu

University of Toronto
Zhiyuan Lu

University of Toronto
Visualizing knowledge

Michelle Alexopoulos, Economics, Faculty of Arts & Science, UofT
Sarah Mansoor

University of Toronto
Sarah Mansoor

University of Toronto
Sarah Mansoor

University of Toronto
Disparities in climate-induced health outcomes in the Greater Toronto Area

Prof. Rohan Alexander, Faculty of Information and Statistical Sciences, Faculty of Arts & Science, UofT
Anthony McCanny

University of Toronto
Anthony McCanny

University of Toronto
Anthony McCanny

University of Toronto
The Data Science of a Satisfying, Purposeful, and Engaging Life

Felix Cheung, Psychology, Faculty of Arts & Science, UofT
Andrew Gritsevskiy

University of Toronto
Andrew Gritsevskiy

University of Toronto
Investigating how the brain encodes memory

Sheena Josselyn, The Hospital for Sick Children
Investigating how the brain encodes memory

Sheena Josselyn, The Hospital for Sick Children
Ava Oveisi

University of Toronto
Ava Oveisi

University of Toronto
Interactive approaches to automatic source code summarization using deep learning

Eldan Cohen, Mechanical and Industrial Engineering, Faculty of Applied Science & Engineering, UofT
Interactive approaches to automatic source code summarization using deep learning

Eldan Cohen, Mechanical and Industrial Engineering, Faculty of Applied Science & Engineering, UofT
Yun Shen

University of Toronto
Yun Shen

University of Toronto
Content analysis of over 150 years of news and articles

Periklis Andritsos, Faculty of Information, UofT
Content analysis of over 150 years of news and articles

Periklis Andritsos, Faculty of Information, UofT
Lauren Gill

University of British Columbia
Lauren Gill

University of British Columbia
Data Science for White Shark Conservation

Vianey Leos Barajas, Statistical Sciences, Faculty of Arts & Science, UofT
Data Science for White Shark Conservation

Vianey Leos Barajas, Statistical Sciences, Faculty of Arts & Science, UofT
Chaerin Song

University of Toronto
Chaerin Song

University of Toronto
Machine learning application to financial news in Korean and Japanese

Mark Manger, Political Science, Faculty of Arts & Science, UofT
Machine learning application to financial news in Korean and Japanese

Mark Manger, Political Science, Faculty of Arts & Science, UofT
Amal Koodoruth

McGill University
Amal Koodoruth

McGill University
Algorithmic Reparation: Analyzing and Improving the Bias-Fixing Algorithms in Data Science

Prof. Ahmed, Ishtiaque, Computer Science, Faculty of Arts & Science, U of T
Algorithmic Reparation: Analyzing and Improving the Bias-Fixing Algorithms in Data Science

Prof. Ahmed, Ishtiaque, Computer Science, Faculty of Arts & Science, U of T
Yingke Wang

University of Toronto
Yingke Wang

University of Toronto
Machine learning for chronic disease management

Rahul Krishnan, Computer Science, Faculty of Arts & Science, UofT
Machine learning for chronic disease management

Rahul Krishnan, Computer Science, Faculty of Arts & Science, UofT
Jasmin Lee

University of Toronto
Jasmin Lee

University of Toronto
Implementation of serological and molecular tools to inform COVID-19 patient management: protocol for the GENCOV prospective cohort study

Jordan Lerner-Ellis, Lunenfeld-Tanenbaum Research Institute
Implementation of serological and molecular tools to inform COVID-19 patient management: protocol for the GENCOV prospective cohort study

Jordan Lerner-Ellis, Lunenfeld-Tanenbaum Research Institute
Cecilia Kelly Minar Widjaja

University of Toronto
Cecilia Kelly Minar Widjaja

University of Toronto
Phylo-genomics

Asher Cutter, Ecology & Evolutionary Biology, Faculty of Arts & Science, UofT
Phylo-genomics

Asher Cutter, Ecology & Evolutionary Biology, Faculty of Arts & Science, UofT
Grace Yu

University of Toronto
Grace Yu

University of Toronto
Mapping the Milky Way a Million Light Years

Ting Li, Astronomy & Astrophysics, Faculty of Arts & Science, UofT
Mapping the Milky Way a Million Light Years

Ting Li, Astronomy & Astrophysics, Faculty of Arts & Science, UofT
Tian Yu

University of Toronto
Tian Yu

University of Toronto
Transferring Generative Adversarial Network (GAN): Augmentation from Limited Patients' Data

Xilin Liu, Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT
Transferring Generative Adversarial Network (GAN): Augmentation from Limited Patients' Data

Xilin Liu, Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT
Yupeng Zhang

University of Toronto
Yupeng Zhang

University of Toronto
Learning analytics for improved student learning

Alison Gibbs, Statistical Sciences, Faculty of Arts & Science, UofT
Learning analytics for improved student learning

Alison Gibbs, Statistical Sciences, Faculty of Arts & Science, UofT
Wentao Zhou

University of Toronto
Wentao Zhou

University of Toronto
Neural networks for classifying capnography waveforms

Aaron Conway, Lawrence S. Bloomberg Faculty of Nursing, UofT
Neural networks for classifying capnography waveforms

Aaron Conway, Lawrence S. Bloomberg Faculty of Nursing, UofT
Kitty Chen

University of Ottawa
Kitty Chen

University of Ottawa
Public health decision support tools to prevent chronic disease

Laura Rosella, Dalla Lana School of Public Health, UofT
Public health decision support tools to prevent chronic disease

Laura Rosella, Dalla Lana School of Public Health, UofT
Ruisi Rachel Li

University of Toronto
Ruisi Rachel Li

University of Toronto
Association of repeats in the SLC9A3 region with lung phenotypes in cystic fibrosis

Lisa Strug, The Hospital for Sick Children
Association of repeats in the SLC9A3 region with lung phenotypes in cystic fibrosis

Lisa Strug, The Hospital for Sick Children
Jiaying (Lynn) Li

University of Toronto
Jiaying (Lynn) Li

University of Toronto
Diversification and evolution of ubiquitin across the Kingdom Fungi

Yan Wang, Biological Sciences, University of Toronto Scarborough, UofT
Diversification and evolution of ubiquitin across the Kingdom Fungi

Yan Wang, Biological Sciences, University of Toronto Scarborough, UofT
Jiakai Shi

University of Toronto
Jiakai Shi

University of Toronto
Algorithms and Statistical Tests for Real-World Adaptive Experiments to Enhance and Personalize Technology Interventions for Education, Mental/Physical Health, & Behaviour Change

Joseph Jay Williams, Computer Science, Faculty of Arts & Science, U of T
Algorithms and Statistical Tests for Real-World Adaptive Experiments to Enhance and Personalize Technology Interventions for Education, Mental/Physical Health, & Behaviour Change

Joseph Jay Williams, Computer Science, Faculty of Arts & Science, U of T
Dien Nguyen

University of Toronto
Dien Nguyen

University of Toronto
Bioinformatics to analyze single cell RNA seq datasets of human fetal lung tissue

Amy Wong, Developmental & Stem Cell Biology, SKH
Bioinformatics to analyze single cell RNA seq datasets of human fetal lung tissue

Amy Wong, Developmental & Stem Cell Biology, SKH
Tina Tsan

University of Toronto
Tina Tsan

University of Toronto
Evaluating the contribution of dissolved inorganic carbon and alkalinity from pyrite oxidation to the marine carbon budget

Ulrich Wortmann, Earth Sciences, Faculty of Arts & Sciences, UofT
Evaluating the contribution of dissolved inorganic carbon and alkalinity from pyrite oxidation to the marine carbon budget

Ulrich Wortmann, Earth Sciences, Faculty of Arts & Sciences, UofT
Zhenyu Wang

University of Toronto
Zhenyu Wang

University of Toronto
Sociotemporal embedding of slang

Yang Xu, Computer Science, Faculty of Arts & Science, UofT
Sociotemporal embedding of slang

Yang Xu, Computer Science, Faculty of Arts & Science, UofT
Kiran Deol

University of Alberta
Kiran Deol

University of Alberta
Real-time visualization of important variables along low-dimensional manifolds

Yun Williams Yu, Computer & Mathematical Sciences, University of Toronto Scarborough, UofT
Real-time visualization of important variables along low-dimensional manifolds

Yun Williams Yu, Computer & Mathematical Sciences, University of Toronto Scarborough, UofT
Rory Gao

University of Toronto
Rory Gao

University of Toronto
Machine Learning for Automated Volumemetric Reconstruction of Electron Micrographs

Mei Zhen, Lunenfeld-Tanenbaum Research Institute
Machine Learning for Automated Volumemetric Reconstruction of Electron Micrographs

Mei Zhen, Lunenfeld-Tanenbaum Research Institute