SUDS Showcase 2024

The SUDS Showcase features the outstanding research conducted by our SUDS Scholars.

Join us on August 15 to celebrate our summer undergraduate data science researchers and learn about the innovations of tomorrow.

2024 Schedule – Stay tuned for details

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

August 15, 2024
9:30 a.m. to 2 p.m.
In-person
10th floor, 700 University
Avenue, Toronto

Register Here

9:30 – 10:00 am
Registration

SUDS Poster set ups
Light breakfast available
10:00 – 10:10 am
Welcome

Prof. Laura Rosella, Associate Director, Education & Training, Data Sciences Institute
10:10 –11:00 am
Keynote

Deconstructing Risk in Predictive Risk Models

Prof. Shion Guha, Faculty of Information, University of Toronto
11:00 am – 12:10 pm
SUDS Scholars Presentations
12:10 – 1:40 pm
Poster session, lunch and networking

1:40 – 1:50 pm
SUDS choice awards for presentation and poster
1:50 – 2:00 pm
Closing remarks
2023 SUDS Showcase Schedule
9:30 – 10:00 am
Registration

SUDS Poster set ups
Light breakfast available
10:00 – 10:10 am
Welcome

Prof. Laura Rosella, Associate Director, Education & Training, Data Sciences Institute
10:10 –11:00 am
Keynote

Data Science and the Scientist: A Modeler’s Reflection on Hype, Hubris, and Humility
Prof. Sharmistha Mishra, Associate Professor, Department of Medicine, Division of Infectious Diseases, University of Toronto
11:00 am – 12:10 pm
SUDS Scholars Presentations

Yihan Wang: Uncovering the Ages of Stars with Probabilistic Machine Learning
Supervisor: Joshua Speagle, Department of Statistical Sciences, Faculty of Arts & Science, UofT

Q&A (2 min)

Yu Zhang: Computational models of social factors in language
Supervisor: Suzanne Stevenson, Department of Computer Science, Faculty of Arts & Science, UofT

Q&A (2 min)

Lilian Tsz Ying Chan: A Climate Downscaling Workflow for Climate Impact Analysis and Its Application to Snow Hydrology
Supervisor: Paul Kushner, Department of Physics, Faculty of Arts and Science, UofT

Q&A (2 min)

Ke Shi: Bridging the Gap: Exploring Cross-Course Engagement Metrics to Enhance Student Learning Experiences
Supervisor: Alison Gibbs, Department of Statistical Sciences, Faculty of Arts & Science, UofT

Q&A (2 min)

Preet Mistry: DeepBDE, a graph neural network for fast and accurate prediction of chemical bond strengths
Supervisor: Hans Arno Jacobsen, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT

Q&A (2 min)

Ziqi Shu: School Dropout Prediction Using Machine Learning: An Interactive Presentation of the Evolving Landscape
Supervisor: Zahra Shakeri, Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, UofT

Q&A (2 min)

Kitty Chen: Public health decision support tools to prevent chronic disease
Supervisor: Prof. Laura Rosella, Dalla Lana School of Public Health, UofT

Q&A (2 min)

Sanchaai Mathiyarasan: Analyzing and improving the performance of a network community detection algorithm using mathematical optimization
Supervisor: Samin Aref, Department of Mechanical and Industrial Engineering, Faculty of Applied Science and Engineering, UofT

Q&A (2 min)

Congrong He:Bridging complementary behavioral tracking platforms to facilitate automated analysis of C. elegans locomotory phenome
Supervisor: Mei Zhen, Lunenfeld-Tanenbaum Research Institute

Q&A (2 min)

Akil Huang: Automated text analysis of liberal and conservative news
Supervisor: Spike Lee, Department. of Psychology, Joseph L. Rotman School of Management, Faculty of Arts and Science, U of T

Q&A (2 min)

Xiaofeng Liu: Discrimination in Housing Markets: Evidence from Historical Racial Covenants
Supervisor:Aradhya Sood, Department of Management, University of Toronto Scarborough, UofT

Q&A (2 min)
12:10 – 1:40 pm
Poster session, lunch and networking

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

Cheick Doumbia: From chemical bonds to reactions: Accelerating computational discovery with deep learning
Supervisor: Viki Kumar Prasad, Postdoctoral Research Fellow, Department of Chemical & Physical Sciences, UofT, and Hans-Arno Jacobson, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT

Jan-Philip Jasper Gerigk: Utilizing pre-trained vision models for object-centric reinforcement learning
Supervisor: Igor Gilitschenski, Department of Mathematical and Computational Sciences, University of Toronto Mississauga, UofT

Jackson Howe: Integrative Supervised Machine Learning Model for Cancer Risk Stratification
Supervisor: Sushant Kumar, Princess Margaret Cancer Centre, University Health Network

Shanxun Hu:Development of data science tools to query administrative database
Supervisor: Laura Rosella, Dalla Lana School of Public Health, UofT

Lu Huang:Bayesian Analysis of the Genetic Covariance Between Mating Success and Fitness in Drosophila serrata
Supervisor: Jacqueline Sztepanacz, Department of Ecology and Evolutionary Biology, Faculty of Arts and Science, UofT

Adele Lauzon:Developing and Evaluating an Interactive Application for Teaching Multiverse Analysis
Supervisor: Nathan Taback, Department. of Statistical Sciences, Faculty of Arts & Science, UofT

Yiwen Li:Surrogate-assisted positive unlabeled learning
Supervisor: Jesse Gronsbell, Department of Statistical Sciences, Faculty of Arts & Science, U of T

Kevin Sun: Development of WISEST: A Machine Learning Approach for Comparing and Selecting Systematic Reviews
Supervisor: Andrea Tricco, Unity Health Toronto

George Xuanyi Li:Unleashing the power of student data analytics
Supervisor: Greg Evans, Institute for Studies in Trans-Disciplinary Engineering Education and Practice, Faculty of Applied Science and Engineering, UofT

Connor MacKeigan:Map the "Rivers" on the Sky using Astronomical Datasets
Supervisor: Ting Li, Astronomy & Astrophysics, Faculty of Arts & Science, UofT

Ruoqing Mo:Mathematical Optimization for Interpretable Machine Learning
Supervisor: Eldan Cohen, Mechanical and Industrial Engineering, Faculty of Applied Science & Engineering, UofT

Athulram Rajagopal:Computational cancer biology opportunity in Salmena lab
Supervisor: Leonardo Salmena, Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, UofT

Bilin Nong:A Comparison of Missing Data Methods for Clinical Trials
Supervisor: Kuan Liu, Dalla Lana School of Public Health, U of T

Nick Taylor:Quantum Machine Learning for Regression Tasks in Computational Chemistry
Supervisor: Hans-Arno Jacobson, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT

Emiliya Stolyarova:Deciphering the chemo-genomic networks involved in telomere integrity and senescence
Supervisor: Lea Harrington, Department of Biochemistry, Temerty Faculty of Medicine, UofT

Emily Zhang:Abnormal brain cell activity in a mouse model of Alzheimer's disease
Supervisor: Kaori Takehara, Department of Psychology, Faculty of Arts & Science, U of T

Yuanhan Peng:Modelling Missing Data in a New Dataset on Universities Worldwide
Supervisor: Elizabeth Buckner, Department of Leadership, Higher, and Adult Education, Ontario Institute for Studies in Education, UofT

Xiaoning Wang:Using Natural Language Processing to Understand Naturalistic Speech Perception
Supervisor: Bjorn Herrmann, Baycrest

Aerin Wang:Evaluating the Potential of Alphafold2Complex to Predict CFTR Protein-Protein Interactions
Supervisor: Amy Wong, Developmental & Stem Cell Biology Labs, SKH

Anton Sugolov:Development of a hybrid quantum-classical variational algorithm for circuit architecture optimization
Supervisor: Hans-Arno Jacobson, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, UofT

Kunzhi Yu:Computer Vision to Capture Patient Flow Data in the Medical Imaging Department
Supervisor: Andrew Brown, Unity Health Toronto

Junlong Zhang:Machine Learning for Healthcare
Supervisor: Rahul Krishnan, Department of Computer Science, Faculty of Arts & Science, UofT

Mahe Chen:Role of Excitability in Neuronal Allocation of Fear Memories in the Amygdala
Supervisor: Sheena Josselyn, The Hospital for Sick Children

Catherine Guan:Beyond the Mean: Equitable Outcomes through Distributional Analysis
Supervisor: Felix Cheung, Psychology, Faculty of Arts & Science, UofT

Amanda Illeperuma:Measures of Burnout in Skilled Trades of Ontario: Understanding Engagement and Retention of Employees
Supervisor: Behdin Nowrouzi-Kia, Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, UofT

Bryant Bak-Yin:Applications of Large Language Models for Summarizing Clinical Trials
Supervisor: Michael Fralick, Lunenfeld-Tanenbaum Research Institute, Sinai Health System

Peter Shi:Mapping the chemical structure of the Milky Way with neural nets and SDSS-V
Supervisor: Jo Bovy, David A. Dunlap Department of Astronomy and Astrophysics, Faculty of Arts & Science, UofT

Shuyu van Kerkwijk:Capturing stress-induced changes to developing C. elegans neuron structure with light microscopy
Supervisor: Mei Zhen, Lunenfeld-Tanenbaum Research Institute
1:40 – 1:50 pm
SUDS choice awards for presentation and poster
1:50 – 2:00 pm
Closing remarks