MSc Statistics, Fall 2020 – ongoing at the Elliott Lab
BSc Computing Science with Distinction, Fall 2017 – Spring 2020
Simon Fraser University
wca88 ( at ) sfu ( dot ) ca
“An expanded set of genome-wide association studies of brain imaging phenotypes in the UK Biobank” was just accepted to Nature Neuroscience – the preprint is available below as “Enhanced Brain Imaging Genetics in UK Biobank” (there was a name change).
I just won the inaugural Radio Resilience Competition, a software-defined radio competition to create a new physical layer for wireless communications.
I was featured in a profile by SFU Graduate Studies.
Compression for population genetic data through finite-state entropy – current work on a new compressed file format for population-level genetic data in genome-wide association studies
Enhanced Brain Imaging Genetics in UK Biobank – coauthored – see associated software here
Finding coronavirus-resistant stock portfolios accepted to Analytics Now
Linking Public Opinion to Direct Action: 2019 Hong Kong Protests at the BC AI Student Showcase
ChemTable – chemistry app on the Google Play store
Weather satellite reception at home with software-defined radio – 2020 western US wildfires from the NOAA POES satellites: animation, gallery; aftermath from Meteor-M N2: burn scars – project notes coming eventually – demodulation and decoding software coming eventually: see demodulator prototype and screenshot
NSERC Alexander Graham Bell Canada Graduate Scholarship-Master's (CGS M), Fall 2020
NSERC Undergraduate Student Research Award, Summer 2019, Summer 2020
Undergraduate Open Scholarship, Spring 2019, Fall 2019, Spring 2020
SFU Alumni Scholarship, Spring 2019, Fall 2019
Dean's Academic Excellence Entrance Scholarship – Applied Sciences, Fall 2017
BC Achievement Scholarship, Summer 2017
Hamber Foundation Scholarship, Summer 2017
Research Assistant at SFU Department of Statistics & Actuarial Science, Summer 2019 – present
Vice-President at SFU Computing Science Student Society, Summer 2018 – Spring 2019
High School Summer Technical Student at Hootsuite, Summer 2017
Special Topics in Artificial Intelligence: Machine Learning and Statistical Machine Learning – techniques in supervised and unsupervised learning
Special Topics in Theoretical Computing Science: Algorithms of Optimization – solving NP-hard optimization problems by approximation and randomization
Deep Learning – I am currently doing a reading course from the Goodfellow, Bengio, and Courville text and looking into deep reinforcement learning for the popular video game Minecraft, inspired by NeurIPS 2020.
Bloomberg Market Concepts