Neutron Cohort
The Neutron cohort of Cybera’s Applied Data Science Lab for Economic Development launched in May 2023. In this cohort 16 budding data scientists have been paired with Alberta-based organizations to begin their real-world data science journey. Over the course of the summer months, the data science interns will develop and iterate on proof-of-concept data science products and support infrastructure that can be used by their industry partners to improve operations or develop a new product.
The Applied Data Science Lab is designed to help emerging data scientists find employment opportunities by giving them real-world data science experience. In parallel, the program supports Alberta-based organizations to adopt data science practices that will help them de-risk data-related opportunities, improve business productivity, create jobs, secure investment, and improve efficiencies.
Vertical City
Vertical City has built Canada’s largest network of residential elevator screens, which uses our custom content management software platform, Elev8 to enable property managers to communicate with their residents and serves ads that are powered by machine learning-based audience analytics platform.
With their recent development of a hardware agnostic platform, Elev8 Anywhere, they can now service hardware owned by 3rd parties, which enables us to scale at a much more rapid pace. The Vision analytics that this cohort will be working on is at the heart of their customer's insight reporting.
Metro Technical Services (MTS)
Metro Technical Services is a company that was founded by a team of materials scientists and software engineers with a passion for improving materials testing processes.
Overall, their goal at Metro Technical Services is to become the go-to provider of innovative and cutting-edge materials testing software for engineers and scientists around the world, through offering features like automation, real-time data analysis, machine learning capabilities and other advanced functionalities that can help improve the quality and efficiency of testing processes.
Matris™ by Synergyne ART Analytics Inc.
Matris™ is an innovative test (owned by Synergyne) that evaluates endometrial receptivity in patients undergoing assisted reproductive technology treatment (most often invitro fertilization procedures). Matris™ uses proprietary algorithms and specialized technologies to assess and interpret ultrasonographic images taken by the clinic generating a numeric score which clinicians use to assess the likelihood of a successful transfer.
Using 2- and 3-dimensional techniques, Matris™ and their team generate insights into endometrial receptivity that cannot be detected in routine clinical practice. Synergyne is looking to automate several critical steps so that an accurate, scalable test can be brought to the global market with minimal human intervention in the development of the Matris™ score.
Neutron Cohort Interns
Aldebaran Elnath Saldaña Polanco
Calgary
Aldebaran received his Bachelor of Science in Biomedical Engineering from the Institute of Technology and Higher Studies in Monterrey, Mexico, and his Master of Data Science and Analytics from the University of Calgary. He served as a data science intern for the University of Calgary’s Department of Critical Care Medicine. Through his internship with the Applied Data Science Lab, Aldebaran has been exposed to a variety of new tools and platforms, including Docker, Metabase, and Looker. When he’s not at his desk, you can find him crafting silly mugs in his pottery class.
GitHub
Shivam Rathore
Edmonton
Shivam is currently completing their Bachelor of Science Honours in Computing Science at the University of Alberta. He previously worked at the University of Alberta as a Machine Learning Research Assistant under the supervision of Dr. Jeff Boisvert. Shivam enjoys deriving actionable insights from data, and even uses a simple regression model to plan their meals!
GitHub
Chinwe Ajieh
Calgary
Chinwe completed her Master’s degree in Software Engineering from the University of Calgary, where she was actively engaged in software and machine learning projects. Notably, she collaborated with a team to design a microservice application that generates randomized, usable computer logging/telemetry data for Cisco Secure Endpoint Team. Additionally, her team helped build a mobile application for improved chemotherapy care aimed at tracking patients' chemotherapy extravasation sites, which went on to win the MEng Software Engineering 2023 Hackathon. Chinwe is passionate about working with data and building applications that make a meaningful societal impact.
GitHub
Rishabh Shukla
Calgary
Rishabh received his Bachelor of Technology from the Indian Institute of Technology in Guwahati, and is currently a PhD candidate at the University of Calgary. His typical day as an Applied Data Science Lab intern involves: brainstorming ideas and solutions with his data science mentor and fellow interns, staring at data, making plots, and scrolling through StackOverflow. While the internship may at times feel challenging, Rishabh enjoys supporting a project that has the capacity to solve a critical business issue, and revels in the opportunity to learn new technologies.
GitHub
Vardaan Bhatia
Calgary
Vardaan received his Master in Data Science and Analytics from the University of Calgary. He was previously a Lead Engineer at Apisero, where he worked on technologies like Sales Force and the cloud integration software Mule ESB. Vardaan finds his current internship very engaging, as he is able to directly contribute to the realization of the organization’s vision, and is regularly given opportunities to incorporate his own ideas into the models that he and his team are developing for the platform. In his spare time, he is a black belt in karate, and can play the piano, guitar, and drums.
GitHub
Seyed Arad Ashrafi Asli
Edmonton
Seyed received his Master of Science in Computing Science from the University of Alberta. As an undergraduate student, he developed multiple machine learning models, and published several academic papers on machine learning and natural language processing in prestigious international journals. His master’s research focused on the explainability of AI models and responsible AI methods. Seyed is an appreciator of the great outdoors, a basketball and volleyball enthusiast, and can play multiple instruments, including the drums, piano, and setar.
GitHub
Shasha Fu (Lizi)
Edmonton
Lizi received her Bachelor of Engineering from Sun Yat-sen University and is currently pursuing a Master of Science in Computer Science at the University of Alberta, where she also worked as a Machine Learning Research Assistant. Adaptable and eager to learn new skills, she successfully developed a 3D virtual reality application in Unity despite having no prior experience building applications with the engine. Lizi is an excellent swimmer, and would like to one day travel to Dubai, as she enjoys the city’s year-round sunshine.
GitHub
Cynthia Fonderson
Calgary
Cynthia received her Bachelor and Master of Science from the University of Lethbridge, where she also worked as a Research Assistant in the field of computational chemistry. Prior to joining the Applied Data Science Lab, she was a data science fellow at Correlation One. Cynthia is a competitive swimmer, and would like to travel to Bali for its clear skies, deep blue water, and amazing hotels.
GitHub
Kane Smith
Calgary
Kane Smith received his Bachelor of Commerce from the University of Alberta. In his previous role as a Research Assistant, he built a simulation model that improved the Edmonton Stollery Children’s Hospital’s operational efficiency. As an data science intern working with Synergyne, Kane is responsible for developing the computer vision models that will eventually increase the speed and scalability of the medtech company’s non-invasive endometrial receptivity test. A lover of beautiful architecture and soothing coastal views, he aspires to travel to Croatia.
GitHub
Yang Wang
Calgary
Yang Wang received his Bachelor of Science from the University of Iowa and her Master of Science from the University of Calgary. Before joining the Applied Data Science Lab, she worked for a startup company as a marketing intern. She appreciates the Lab’s friendly, collaborative working environment, and enjoys solving problems with her peers and learning from her mentor. Yang dances and does handcrafts in her spare time, and couldn’t live without her family, the internet, and chinese spices.
Devanshi Patel
Calgary
Devanshi holds a Masters in Data Science and Analytics, has worked as a consultant, software developer, and assistant project manager, and even once contributed to a coding project that went on to win a Guinness World Record! She is currently enjoying her internship with Cybera, as it has given her the opportunity to apply her knowledge of mathematics and science to real world problems. A chess enthusiast, Devanshi is always planning two steps ahead, making her a valuable addition to the team.
GitHub
Vishwajeet Ohal
Edmonton
Vishwajeet received his Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University and is working on a Quantum Artificial Intelligence Master's Thesis while completing his Master of Science in Computing Science at the University of Alberta. He thoroughly enjoys interning with the Applied Data Science Lab, as it has enabled him to apply the skills he learned in academia to real world challenges. When he’s not at his desk, you can find Vishwajeet strumming on his guitar or ukulele, beating on his drum set, playing a relaxing video game, or lifting weights at the gym.
GitHub
Saroush Maleki
Edmonton
Saroush has been part of numerous successful robotics, computer vision, and deep learning projects. As an undergraduate, he worked with a teammate to develop, optimize, and manufacture a precision motion control system; as an intern for Omad Afarinan, he helped design and assemble a 3D bio-printer; and, while working as a Research Assistant for the University of Alberta’s NODE lab, he wrote several 3D object localization algorithms and built a trajectory-tracking model predictive controller while pursuing his Master of Science in Mechanical Engineering.
GitHub
Onur Taylan Cicek
Calgary
Prior to joining the Applied Data Science Lab, Taylan worked at DenizBank, where he was one of the organization’s youngest ever department head. Eager to expand their skillset beyond finance, Taylan appreciates the diverse industrial experience they have garnered through his internship with Cybera. He received his Master of Science from Bogazici University and a Master of Data Science and Analytics from the University of Calgary. When he’s not at work, he spends his time crafting various wooden objects, including pendulum clocks, boxes, chairs, and tables.
GitHub
Oleksandr (Alex) Horenkov
Calgary
Oleksandr received his Bachelor and Master of Electrical Engineering from Donetsk National Technical University in Ukraine. He worked in the ophthalmology and optics field for eight years before joining the Applied Data Science Lab. Unafraid to get their hands dirty, Oleksandr likes working with “real and messy data.” Oleksandr is also a “pretty good” baseball player, and loves to cook. Played a crucial role in devising a business development plan that helped his company secure a grant from the Caritas Foundation.
GitHub
Abhishek Dand
Calgary
Abhishek received his Master of Engineering in Electrical and Computer Engineering from the University of Calgary. He was previously a Senior Engineer in Control and Automation at Adani Ports. Abhishek appreciates the Applied Data Science Lab’s work environment, because it “fosters innovation and encourages continuous learning.” When he’s not busy communicating with his team or showcasing products to clients, you can find him in Cybera’s Calgary office, near the jigsaw puzzle table.
GitHub
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