Sathesan Thavabalasingam

Data Scientist

Tangerine Bank

Biography

I am currently a Data Scientist at Tangerine Bank, an online and mobile banking company. My interests include developing elegant solutions to solve problems using data and analytics. In my role I am involved in developing predictive models to drive acquisition and pricing optimization at Tangerine.

Prior to transitioning to Data Science, my Ph.D research revolved around exploring human memory and perception.

Interests

• Artificial Intelligence
• Data Science
• Data Engineering

Education

• PhD in Cognitive Neuroscience, 2020

  University of Toronto

• Masters in Cognitive Neuroscience, 2015

  University of Toronto

• BSc in Psychology, 2013

  University of Toronto

Skills

Programming

Machine Learning

DevOps

Teaching

Project Management

Collaboration

Experience

 

 

 

 

 

Data Scientist

Tangerine Bank

October 2019 – Present Toronto

Managed multiple data science projects using financial data.

 

 

 

 

 

Data Science Fellow

Insight Data Science

May 2019 – July 2020 Toronto

Created Flask web-app using NLP and recommendation system.

 

 

 

 

 

Ph.D Research Scientist

University of Toronto

September 2015 – August 2019 Toronto

Used analytics and predictive models to explore large MRI datasets.

 

 

 

 

 

Course Instructor & Teaching Assistant

University of Toronto

September 2014 – August 2019 Toronto

Taught multiple courses on analytics and statistics.

Recent Posts

Tweedie Loss Function

In this post on medium, I describe the Tweedie loss function and how it can be used to model zero-inflated data.

Sathesan Thavabalasingam

Jan 23, 2021 1 min read Medium Post

Using Kale + Kubeflow Katib to Save Best Fitted Model

Some code to help with saving each fitted model and parameters for hyperparameter tuning with Kubeflow Katib.

Sathesan Thavabalasingam

Jan 23, 2021 3 min read Tips / Tricks

Projects

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All Deep Learning Other

Line Text Recognizer (Full-Stack Deep Learning)

Implementation of FSDL line text recognizer web app.

Code

WildFire

A simple web application built with Flask, Python and Google App Engine to assist project procurement by connecting vendors with the right buyers.

Code

Evaluation of skipthoughts model

Evaluation of skip-thoughts model outlined in Kiros paper (https://arxiv.org/pdf/1506.06726.pdf)

Paper Code

Featured Publications

Sathesan Thavabalasingam, Edward B. O'Neil, Jonathan Tay, Adrian Nestor, Andy C H Lee

March 2019 In PNAS

Evidence for the incorporation of temporal duration information in human hippocampal long-term memory sequence representations

We demonstrate that multivariate patterns of activity in the human hippocampus during the recognition and cued mental replay of long-term sequence memories contain temporal structure information in the order of seconds. By using an experimental paradigm that required participants to remember the durations of empty intervals between visually presented scene images, our study provides evidence that the human hippocampus can represent elapsed time within a sequence of events in conjunction with other forms of information, such as event content. Our findings complement rodent studies that have shown that hippocampal neurons fire at specific times during the empty delay between two events and suggest a common hippocampal neural mechanism for representing temporal information in the service of episodic memory.

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Publications

Quickly discover relevant content by filtering publications.

Sonja Chu, Matthew Margerison, Sathesan Thavabalasingam, Edward B. O'Neil, Yuan-Fang Zhao, Rutsuko Ito, Andy C H Lee (2021). Perirhinal cortex is involved in the resolution of learned approach–avoidance conflict associated with discrete objects. In Cerebral Cortex.

PDF DOI

Sonja Chu, Sathesan Thavabalasingam, Laurie Hamel, Supreet Aashat, Rutsuko Ito, Andy C H Lee (2020). Exploring the interaction between approach-avoidance conflict and memory processing. In Memory.

PDF DOI

Andy C H Lee, Sathesan Thavabalasingam, Denada Alushaj, Bilgehan Çavdaroğlu, Rutsuko Ito (2020). The hippocampus contributes to temporal duration memory in the context of event sequences: A cross-species perspective. In Neuropsychologia.

PDF DOI

Daniela J Palombo, Allison G. Reid, Sathesan Thavabalasingam, Renée Hunsberger, Andy C H Lee, Mieke Verfaellie (2020). The human medial temporal lobe is necessary for remembering durations within a sequence of events but not durations of individual events. In J Cog Neuro.

PDF DOI

Sathesan Thavabalasingam, Edward B. O'Neil, Jonathan Tay, Adrian Nestor, Andy C H Lee (2019). Evidence for the incorporation of temporal duration information in human hippocampal long-term memory sequence representations. In PNAS.

PDF DOI

Sathesan Thavabalasingam, Edward B. O'Neil, Andy C H Lee (2018). Multivoxel pattern similarity suggests the integration of temporal duration in hippocampal event sequence representations. In Neuroimage.

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Danielle Douglas, Sathesan Thavabalasingam, Zahraa Chorghay, Edward B. O'Neil, Morgan D Barense, Andy C H Lee (2017). Perception of impossible scenes reveals differential hippocampal and parahippocampal place area contributions to spatial coherency. In Hippocampus.

PDF Source Document DOI

Sathesan Thavabalasingam, Edward B. O'Neil, Zheng Zeng, Andy C H Lee (2016). Recognition Memory is Improved by a Structured Temporal Framework During Encoding. In Frontiers in Psychology.

PDF DOI

Edward B. O'Neil, Rachel Newsome, Iris H N Li, Sathesan Thavabalasingam, Rutsuko Ito, Andy C H Lee (2015). Examining the role of the human hippocampus in approach–avoidance decision making using a novel conflict paradigm and multivariate functional magnetic resonance imaging. In J Neuro.

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Popular Topics

amnesia Approach-avoidance conflict approach–avoidance conflict CA1 conflict d-prime Data Science decision-making Deep Learning duration encoding episodic memory Event sequences Functional magnetic resonance imaging functional MRI Hippocampus Machine Learning medial temporal lobe memory Time