Data Science Fellowship Profiles 2021
Cybera’s Data Science Industry Fellowship 2021 cohort pairs 19 budding data scientists with five Alberta-based organizations to work on an internal data project. From July 19 - August 27, 2021, the emerging data scientists (Fellows) will develop a proof-of-concept tool that can be used by their industry partner to improve operations or support the development of a new product.
The Fellowship program was designed to help the Fellows gain employment opportunities by giving them real-world data science experience. In parallel, the program supports Alberta-based organizations in adopting data science practices that will help them increase returns, create jobs, secure investment, and improve efficiencies.
Applied Optimal is an early stage startup that is looking to offer improved energy price forecasts for Alberta organizations. The introduction of data science and machine learning will help to further improve their forecasting models.
Ankit came to Canada in 2017 as a master's student graduating from the University of Alberta in 2020. Afterwards, Ankit worked as a system analyst for IT applications. Ankit is an inquisitive person when it comes to IT or Data Science, which has led to being able to decipher solutions for some of the legacy problems in the past. Ankit likes being around people, understanding their problems and brain-storming solutions. Ankit enjoyed working as a system analyst and is looking forward to working on exciting data science projects and delivering great value to the partner.
Ming (Chloe) Zhou
Chloe received her BSc. degree in Electrical Engineering with distinction from the University of Alberta and is currently a master’s student at the University of Alberta, majoring Software Engineering and Artificial Intelligence. Throughout Chloe’s academic and industrial journey, Chloe has gained experience in the application of machine learning, time series analysis, and computer vision. As part of the degree program, Chloe has participated in several research projects such as the Alberta Power Industry Consortium project where they developed anomaly detection frameworks for distribution systems. Chloe is passionate about bridging the gap between academia and industry and developing AI for social good.
Shyam Prasad Reddy Bachu
Shyam is pursuing a Master's degree in Software Engineering and Intelligent Systems at the University of Alberta. He is the Vice President of Academics for ECEGSA at the University of Alberta and has two years of past professional experience as a Software Engineer. Shyam is passionate about Data Science, Technology, and Face Painting. Adaptability and multitasking are considered his two main strengths. Shyam loves playing online video games and cooking.
Deep Surface AI
Deep Surface AI specializes in 3D facial surface imaging and image modification tools for gender affirming, facial cosmetic, and orthognathic surgery. Their mission is to improve decision making, patient satisfaction, and doctor-patient communication by delivering precision medicine, 3D visualizations of potential facial surgery objectives. This fellowship will help Deep Surface AI leverage artificial intelligence and machine learning to support patient preferences when they are preparing for their procedures.
Andres is experienced in product design, development and management. Andres has a bachelors in science in Mechanical Engineering, studied Software Development at Bow Valley University and a Masters of Engineering at the University of Calgary. Engineering has always been an exciting journey because it provides a different approach on how to face day to day challenges. Andres hopes to merge the skills they have developed towards generating new ideas for the partner that they are working with.
Evegeny was formally trained as a Pharmacist and has worked at University of Calgary Metabolomic Facility as a research programmer and PI's assistant. Evegeny founded New Land Technology, a startup for agriculture automatization where they developed deep learning algorithms for plant damage detection. Evegeny has worked at Resistell on antibiotic resistance as R programmer and Data Scientist. Currently consults with Hydrell, a wastewater recovery organization, on data handling and prototyping.
Mohammad (Amin) Safarzadeh
Amin is a second-year Ph.D. student in computational neuroscience at the University of Calgary and is currently working on 3D Optical Coherence Tomography (OCT) images to reconstruct vascular beds in the eye. Amin has won three awards, Alberta Innovates Data-Enabled Innovation, T. Chen Fong Doctoral Entrance and T. Chen Fong Research Excellence in Medical Imaging Science. Amin worked as a programmer for oil and gas companies to facilitate engineering workflows where they applied optimization techniques and machine learning methods to enhance production. Amin likes running, hiking and enjoys being among nature.
Williams E. Miranda Delgado
William is a highly motivated PhD candidate in Computational Biophysics at the Centre for Molecular Simulations, University of Calgary. William has a strong interest in the application of data science and machine learning algorithms in pharma/biotechnology and healthcare industries to help improve the lives of people afflicted by disease. William has effective communication and team skills that are reflected in multidisciplinary collaborations involving universities from Canada, the U.S.A., Europe, and Latin America. William’s accomplishments include publications in top-tier journals, scholarships at Provincial and Federal levels, and presentation awards at international scientific conferences.
Hockey AI (Actionable Insight)
Actionable Insight provides the world's first student-athlete robo-advisor - transitioning FinTech into the SportTech sector. They optimize student-athlete academic and athletic development and progression through the use of AI, ML, and predictive analytics. This fellowship will help Actionable Insight develop a more sophisticated and analytical approach to the recruitment and development process for young student-athletes and help them reach their athletic and academic aspirations.
Elliot Damasah is a Data Science and an Artificial Intelligence (AI) enthusiast who believes in the value data can offer humanity. Not only is Elliot convinced that data could help us increase the efficiency of several tasks, but give credence to their ability to aid us to unravel hidden knowledge. When not tinkering with computers, Elliot spends time reading, cooking, playing tennis, and spending time with his family. To Elliot, the world has come this far because of the sacrifices of others. Therefore, Elliot strives to contribute his quota through data science and AI.
Estefania Barreto-Ojeda has a B.Sc. and an M.Sc. in Physics, with scientific interests including researching biomolecular systems, specifically membrane-proteins involved in cancer and multidrug resistance. In 2020, Estefania co-founded the first Python Machine Learning course in the Department of BioSciences at the University of Calgary. More recently, Estefania joined the open-source software community with Google Summer of Code and MDAnalysis to develop a tool that derives curvature profiles from biological membranes. Estefania is also a data visualization fan and a machine learning enthusiast. In her free time, Estefania enjoys reading Latin-American literature and listening to vinyl.
Ovo is a technical specialist with a focus on data science and machine learning development. He has an educational background in engineering technology and applied sciences. Ovo loves working with data, discovering valuable insights that help solve problems for businesses and other types of organizations. He also enjoys programming and is working to improve their coding skills. He values personal growth and making positive contributions in a friendly team environment, while looking forward to making valuable contributions that help organizations build and develop their data strategy, as he seek's out a fitting role in Data Science and Business Intelligence Analytics.
Min graduated with a Bachelor degree in Bioengineering (BIT) and PhD in Materials Engineering from University of Alberta. With a background in research and data analysis, Min believes in the power of data. This led to Min finishing online data science training and participating in several projects using data science skills and methods. Recently Min’s team won an award for her participation in the Bridging Connectivity Hackathon hosted by Cybera and ISAIC. Min hopes data science knowledge would benefit career advancement and the industry partner’s ability to grow.
IronSight is a software platform that simplifies the way companies handle complex logistics. Users can efficiently request, schedule, execute, document, and aggregate data in one collaborative hub. This hub strengthens the link between industrial operations (the demand) and their service providers (the supply) through data-driven dispatching. IronSight’s customers consistently see sustained OPEX reductions in the 10-30% range, often exceeding $75+ million in annual savings. By participation in Fellowship, IronSight will be able kick-off and de-risk the process of data science adoption to improve industrial efficiencies for its clients.
Ehsan has a PhD in Chemical and Petroleum Engineering from the University of Calgary. As a member of the ‘Reservoir Simulation Group’ and ‘Polymer Processing Group’ at the University of Calgary, Ehsan conducted research on the molecular dynamics (MD), oil reservoir simulation, mathematical modeling, optimization, statistical analysis, and machine learning algorithms.
During their studies, Ehsan has received awards and scholarships, including the Neil Edmunds Memorial Graduate Scholarship for innovative research in oil sands recovery process design, the Eyes High International Doctoral Scholarship, and the Graduate Excellence Award.
Mohammadreza is a research associate at the Department of Chemical Engineering in University of Calgary. Mohammadreza also received a Ph.D. in physics from Technical University of Denmark (DTU), Denmark, in 2014 and worked as a postdoctoral researcher at Stanford University, USA. Later, Mohammadreza joined Lilac Solutions Inc. based in California as a material design engineer where they collaborated with an experimental team to identify optimal materials for lithium extraction from brine. Mohammadreza research focuses on using computational tools and AI for materials design. Mohammadreza is interested in using data science techniques to answer business relevant questions.
Neha Sharma is currently a Ph.D. candidate in Mathematical Finance at University of Alberta and received a masters in mathematics at the University of Kansas. Neha’s areas of interest are Mathematical Finance, Machine Learning, Statistics and Stochastic Analysis. Apart from their Ph.D. research, Neha likes to spend free time kayaking and biking around the Edmonton river valley.
Qun is a master’s student of applied mathematics at the University of Alberta, specialising in mathematical modelling of infectious disease. Qun is currently in a research group at UofA, which is collaborating with Alberta Health in various modelling projects. Qun is passionate about data-driven projects for social good and enjoys reading and running.
United Way looks at the big picture in order to deliver a coordinated network of services and programs to address a range of needs for children and families who are living in poverty. This includes aid through Alberta’s 211 service, which helps individuals who are in need of a variety of support, but don’t know where to turn.
Akinola is a PhD candidate in the department of physics at the University of Alberta. Akinola's research focused on the study of satellite interaction in the environment of space and the application of machine learning to this field of physics. Akinola has developed an algorithm and trained different machine learning models which are used in the interpretation of spacecraft measurements. Prior to the start of their PhD program, Akinola worked at a telecommunication company, where they worked in a group that developed models which are used as a guide in making vital technical decisions that affect the sales.
Amr is a PhD candidate at University of Alberta. In Amr’s doctoral research, Amr conducted research on data driven machine learning models, flood frequency analysis, Monte Carlo simulations, geospatial analysis, and time series analysis where Amr developed a passion for data science. Amr developed a statistical interactive web application for seasonal streamflow forecasting for Southern Alberta. Amr is always striving to work on challenging impactful projects. When not working, Amr enjoys spending time outside with the family.
Behnaz completed an undergraduate in Computer Engineering leading to employment at the Iran Railway Company (IRC) for 8 years. During this time Behnaz gained experience in working with different data management software tools such as Access and SQL as well as programming with C, C++, and Visual Basic. In 2020, Behnaz received a master of science in Biostatistics at the University of Calgary. Behnaz now works as a Research assistant at U of C in Cumming School of Medicine. In this position Behnaz works as a data analyst/ data scientist using administrative health data and ML algorithms to answer research questions related to health.
Boysen is currently in the final year of a applied statistics major with an economics minor at MacEwan University. Boysen is an aspiring data scientist who enjoys connecting the dots; be it ideas from different disciplines, people from different teams, or applications from different industries. Boysen has strong technical skills and an academic background in world economics, statistics, and analytical problem-solving skills.