Claim OwnershipThe Data Den
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© University of Waterloo Data Science Club
Description
Follow Anvita and Jaemin, two University of Waterloo students as they talk about the ever-growing domain of Data, gain insights from industry professionals of diverse backgrounds, and expose everyone to what seems to lie deep in this den
14 Episodes
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An interview with the former CTO of Interlane Logistics, discussing his experiences and adventures as a software developer and entrepreneur.
We have a guest with a LinkedIn page that would make anybody jealous! With a vast amount of experience in both academia and industry in the Financial and Energy sectors, our guest is a well-rounded data science powerhouse with plenty of experience under his belt. He’s currently working as a Senior Software Engineer for Loblaw’s Machine Learning & Data Science Platform. Everybody please welcome Adhithya!
Joining us today is someone who has shown exceptional brilliance in the overlapping fields of medical imaging, computer vision, data science, and healthcare technologies. Currently conducting research at one of Canada's top engineering universities, they are pushing the boundaries of cancer detection with their work. They've graduated from the esteemed University of Waterloo, holding a 4.0 cumulative GPA in Management Engineering and being a recipient of the First in Class Engineering Scholarship from their first year, truly setting them apart in their cohort.
Their passion for solving complex problems isn't just limited to academia. They've spent time at one of the world's leading tech giants, Microsoft, where they put their knowledge to practical use. So without further ado, please welcome our esteemed guest to the show, Amy Tai.
Both an academic and industry weapon! They've swiftly navigated through a series of successful internships at notable tech companies, honing their skills in machine learning and back-end engineering, as well as attending our very own University of Waterloo. At WOMBO.ai, they've played a crucial role as a founding engineer, contributing to the app's ranking in the top 5 on the App Store in over 20 countries, boasting over 50 million downloads. Their experience extends to Jane Street, Groq, and Splunk, where they've tackled challenges in areas like ultra-low latency trading systems, ML compilers, and back-end analytics respectively. So please welcome Nayva!
Data Science!
Introduction to the podcast, future episodes & plans, what data science means to us:
Aashan speaks on:
past DS co-ops
his interest in data engineering
experience navigating and acquiring work experience
Jaemin speaks on:
Being a student in the math field looking to enter data science space
hos past experiences in general SWE & dev work but not DS
Academically majoring in statistics soon
An interview with Bernardino Romera-Paredes, former Research Scientist at Google DeepMind, discussing his insights for legendary AI advancements like AlphaFold.
Martin Riedmiller is a Research Scientist and Team Lead at Google DeepMind working at the bleeding edge of robotics and reinforcement learning. Tune in to learn about foundational work in the field of reinforcement learning, what it takes to win RoboCup, and the future of robots in the age of AI.
Luis Serrano just recently left his role as Head of Developer Relations at Cohere to peruse his AI education channel, Serrano Academy full-time. Tune in to learn about what a career in AI education and developer relations can look like as well as larger questions about the future of AI and what it means for humanity.
Taha Bouhoun is a Data Scientist at Weights & Biases and a graduate from the unique Minerva University Computational Sciences program. This discussion centers around breaking into the tech industry right out of undergrad, what its like to work at a small and high growth company, as well as learning to be a successful data scientist.
Dr. Brydon Eastman is a University of Waterloo alumni and Member of the Technical Staff at OpenAI researching superalignment. This discussion centers around AGI, the future of AI, and advice to keep young AI enthusiasts looking to get into research within this competitive field.
Erika Torres is a highly regarded data scientist in the sports and entertainment industry. While currently at MLSE - Maple Leaf Sports & Entertainment Partnership, Erika works with Toronto FC Soccer Analytics to analyze spatial data, develop predictive models, and build high-quality datasets. Her expertise in end-to-end analysis, including data gathering, processing, and modeling, makes her a true leader in the field.
Charles Qi is an absolute data science weapon - he’s graduated with a M.S. and PHD in Electrical Engineering from Stanford. He’s been through the Data Science walks of life, working at places like Google, Nuro, and Facebook AI research on some of the coolest projects I’ve ever seen! He’s now at Waymo as a Technical Lead Manager and Staff Research Scientist!
Ivan is a Data Scientist at Evil Geniuses. He’s a bit of a data science vet with a lot of previous experiences wrestling with data at places like Disney and MRM. He’s here today to enlighten us about data in the eSports industry and his overall experiences in the space, please welcome Ivan!. We go through some 60 second rapid-fire questions, general student interest questions and E-Sports questions.
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