The Team

About Anna

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Anna Goldenberg

Dr Goldenberg is a Scientist in Genetics and Genome Biology program at the SickKids Research Institute, an Assistant Professor in the Department of Computer Science at the University of Toronto, cross appointed in the Department of Statistics, faculty member at Vector and a fellow at the Canadian Institute for Advanced Research (CIFAR), Child and Brain Development group. Dr Goldenberg trained in machine learning and statistics at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. She is an expert in developing machine learning approaches for biological data, network methods and most recently, data integration of omics and clinical data. The current focus of her lab is on developing methods that capture heterogeneity and identify disease mechanisms in complex human diseases. Her translational focus is on methods that efficiently combine many types of patient measurements to refine diagnosis, improve prognosis and personalise drug response prediction for patients with complex human diseases. She was recently awarded an Early Researcher Award from the Ministry of Research and Innovation and a Canada Research Chair in Computational Medicine.

Anna Goldenberg Principal Investigator

About Lauren

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Lauren

Lauren Erdman is the Project Manager for SickKids Hospital’s new Data Science team and a PhD student in Computer Science at University of Toronto under the supervision of Anna Goldenberg. Previously she completed a MSc in Computer Science and a MSc in Biostatistics at University of Toronto under the supervision of Anna Goldenberg and Lisa Strug, respectively. Her research is focused on developing and applying machine learning methods primarily for data integration and improved translational discovery in the areas of population genetics, genome biology, and complex disease.

Lauren Erdman PhD Researcher

About Aziz

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Aziz

Read more about Aziz on his LinkedIn page

Aziz Mezlini PhD Researcher

About Ladislav

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Ladislav

Ladislav Rampášek is a PhD candidate in the Department of Computer Science at the University of Toronto. He is mostly interested in development of machine learning methods and their applications in life sciences. His research has been focused on deep generative models and drug response prediction since he started working with Dr. Anna Goldenberg in 2014. He previously authored papers on computational methods in non-invasive prenatal testing and for fast RNA motif search. Ladislav holds bachelor’s and master’s degree with honours in Computer Science from the Comenius University in Bratislava.

Read more about Ladislav on his LinkedIn page

Ladislav Rampasek PhD Researcher

About Daniel

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Daniel

Daniel Hidru PhD Researcher

About Ben

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Ben

Ben is originally from Gainesville, Florida and earned a BA in Economics from The University of the South in Tennessee (2012). He graduated with a Master’s in Applied math and Economics from the Paris School of Economics and the Sorbonne in France (2015) and spent the following summer as a data science fellow at the University of Chicago's Data Science for Social Good program. He is currently working on building a machine learning alorithm to predict age of onset in patients with Li Fraumeni Syndrome. In his free time he enjoys watching the Toronto Raptors, eating pizza, and hanging out with his wife Xing (preferably all at the same time).

Ben Brew Bioinformatician

About Daniel

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Daniel Cole

Daniel graduated with a double major Bachelors degree in Computer Science & Ecology and Evolutionary Biology.

Daniel Cole Bioinformatician

About Shems

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Shems Saleh

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Shems Saleh Graduate Researcher

About Kingsley

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Kingsley

Kingsley was a double major at National Taiwan University, earning a bachelors degree in Electrical Engineering and Life Sciences. Currently he is earning his PhD in Computer Science at the University of Toronto. He is interested in Machine Learning and its application in genomics and healthcare. He has a wide range of interestes such as interpretability, uncertainty, counterfactual inference and time-series model, graph NN, etc. He loves good tea and plays volleyball from time to time.

Chun-Hao (Kingsley) Chang Graduate Researcher

About Menjie

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Mingjie

Mingjie earned his undergraduate in both Laboratory Medicine & Pathology as well as computer science. He is currently working towards his masters in computer science and is interested in modeling and prediction on large-scale and high dimensional biological datasets, as well as on complex temporal health care data using natural language processing, recurrent neural networks and reinforcement learning

Mingjie Mai Graduate Researcher

About Jaryd

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Jaryd

Jaryd previously completed a BFA Specialized Honours in Theatrical Production from York University. He then started working in the entertainment industry around Toronto, but after a few years he decided to return to school to pursue a career that would give his working life more stability. Ultimately, he chose to take computer science at the university of Toronto where he is currently working towards completing a BSC specialist in Computer Science. He still enjoys going to see live performances around the city, and he tries to see smaller shows that are locally written. His main hobbies include, playing piano, guitar, and singing in welsh. He's also a member (on leave) with the Toronto Welsh Male Vocal Choir (TWMVC, you should check them out!). Finally, he enjoys playing board/video games, especially the strategic variety.

Jaryd Hunter Undergraduate Researcher

About Lebo

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Lebo

Lebo graduated with double major in Computer Science and Statistics, with a minor in African Studies. She then went on to complete her MSc in Applied Computing (Data Science concentration). She is interested in applying data science to social good, particularly in the field of healthcare.

Lebohang Radebe Data Scientist

About Angeline

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Angeline

Angeline is currently pursuing her bachelors in computer science at the University of Toronto. Her main interest is in applying machine learning method to solve problems in health.

Angeline Yasodhara Undergraduate Researcher

About Valli

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Valli

Valli graduated with an honors Bachelor of Science degree in Biomedical Science & Computer Science. She is currently pursuing a Masters of Science in Medical Biophysics at the University of Toronto to further her interests at the intersection of healthcare and computer science. Her current project involves predictive modelling of age of onset and tumor type in Li-Fraumeni Syndrome using data analysis techniques and machine learning.

Valli Subasri Researcher

About Alex

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George-Alexandru

George Alexandru Adam Researcher

About Yasaman

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Yasaman

Yasaman studied computer science at the University of Toronto.

Yasamansadat Mahdaviyeh Researcher

About Dustin

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Dustin

Dustin graduated with honours in Genetics. During his undergrad, he worked in fly genetics, psychiatric genetics, applied math, computer science, and evolutionary epigenetics labs. His current interest is to apply and develop computational techniques to answer biologically relevant questions in many animal/disease models. His future interests is to continue these application and development while being able to share the final project with the scientific community and industry.

Dustin Sokolowski Researcher

About Soren

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Soren

Soren is currently a 4th year Engineering Science student majoring in Aerospace Engineering at the University of Toronto. His interest in medicine and computers led him to pursue a research project on the use of Machine Learning for diagnosing Hepatic Cirrhosis. After graduation, he plans to pursue a career as an entrepreneur. In his spare time, he enjoys composing instrumental music and sharing it on his YouTube channel Revanchist1.

Soren Sabet Sarvestany Undergraduate Researcher

About Walter

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Walter

Walter is currently an undergraduate student pursuing a degree in Computational Biology and Neuroscience at the University of Toronto. His interests include integrating biological and clinical predictors of psychological disorders, statistical methods for analyzing genomic data, software tools for bioinformatics and reproducibility, as well as graph algorithms.

Walter Undergraduate Researcher

Past Lab Members

  • Won June (Shopify)
  • Tal Friedman (PhD candidate at UCLA).
  • Ekansh Sharma (Masters at University of Toronto).
  • Hareem Naveed (Masters, now at Data Science for Social Good).
  • Cheng Zhao (Masters, now at Google)
  • Bo Wang (Illumina)
  • Feyyaz Saigin Demir (Masters, now at Google)
  • Ying Li (bioinformatician)
  • Beyrem Khalfaoui (Now PhD student with JP Vert)
  • Anne Keller (Masters, now Masters in epidemiology)
  • Mohsen Hajiloo (Amazon)

Past Visitors

  • Vanessa Lima (Brazil)
  • Xin Wang (China)
  • Seunghak Lee (CMU)
  • Lloyd Elliot (Oxford Stats)

Our global lab!