The UBC Master of Data Science programs partner computer science and statistics experts, providing the foundation for a comprehensive approach, as these two disciplines are at the very core of the emerging field of Data Science. Through active and flexible learning techniques, students will be given the opportunity to put theory into practice and to work with real-world data.
Students learn from faculty working at the forefront of their fields. Internationally respected, these leading researchers collaborate with industries, governments and organizations to develop innovative solutions and make a tangible difference to our world. These thought leaders are passionate about their work, committed to student education and eager to share their knowledge.
Meet Some of Our Faculty and Staff
All
Fatemeh Hendijani Fard, Assistant Professor, MDS Okanagan
"I am interested in the applications of data science and machine learning for software engineering. Specifically I am working on the detection and prediction of defect/anomalous behaviour in software. This also requires using big data analysis in practice."
Hendijani Fard obtained her PhD from the University of Calgary and her Master of Science from Amirkabir University. Fard's research interest includes mining Github repositories, natural language processing for software analytics, analyzing software defect databases, social media analysis in software analytics and analytics mobile applications. Currently, Hendijani Fard and her team are analyzing software energy bugs in mobile applications from two perspectives: Software and Users. They analyze massive sets of data from GitHub for a personalized recommender system for GitHub users.
Gittu George, Postdoctoral Research and Teaching Fellow, MDS Vancouver
"MDS program is designed for students to be successful in the industry. You will be armed with techniques to combat enormous data flow."
Gittu started his academic journey back in 2009. Following his undergrad and master's in Computer Science, he started working in the biotechnology industry as an Engineer. During his industry career, he designed enterprise solutions and computational frameworks for large-scale genome and phenome data. Later his interest in the intersection of computer science and genomics lead him to do a Ph.D. in Bioinformatics from the University of Dundee, UK. During his PhD, he developed novel approaches to accelerate the computational time for genomic algorithms. He joined MDS program as a postdoctoral fellow in 2021.
Patricia Lasserre, Associate Professor, MDS Okanagan
"I love that the MDS program makes the students reflect on ethical issues associated with collecting and analyzing data. It is critical as data scientist that we recognize that we all have a role to play in protecting the ethics, privacy and security of the data we work with."
Dr. P. Lasserre has completed her PhD on Vision for Autonomous Robots in Toulouse (France) in 1996. Since her appointment as Associate Professor at UBC Okanagan in July 2005, she has received the Teaching Excellence and Innovation award (2010), served on several administrative positions as associate dean, associate provost, and provost pro-term (2011-2019) where she participated in UBC wide Data Governance discussions. Her research interests include machine learning techniques in various applications, particularly deep learning in computer vision and OCR.
Vincent Liu, Postdoctoral Research and Teaching Fellow, MDS Vancouver
“There have been exciting advances in artificial intelligence driven by the growth in the size and complexity of data. The data science program equips student with the fundamental knowledge and cutting-edge techniques to analyze and leverage large amounts of data for real-world applications.”
Vincent joined UBC in March 2024 as a postdoctoral teaching and research fellow. He completed his PhD and MSc in Computing Science at the University of Alberta where his research focused on data-driven reinforcement learning. Prior to that, he graduated with a Bachelor of Business Administration from National Taiwan University. He is passionate about the use of foundation models for education and personalization.
“Students in the MDS program learn not only the power but most importantly the common missteps one can make in data science. It is about critical thinking in a very complex environment that leverages powerful technologies: modeling, optimization, and data-based algorithms.”
Dr. Yves Lucet is a professor of computer science at the University of British Columbia. His research interests lie in optimization, computer-aided convex analysis, and efficient modeling that take advantage of problem structures. He is a co-recipient of the 2019 EURO Excellence in Practice Award for his work on using optimization to design safe roads at minimal cost. His latest interests are in the interactions between optimization and machine learning.
Quan Nguyen, Postdoctoral Research and Teaching Fellow, MDS Vancouver
"After completing 10 months of this intensive data science master program, you will be prepared with industry desirable skills and knowledge to tackle real-world challenges using data."
Quan Nguyen, Ph.D. began his teaching role in the MDS program at UBC in the summer of 2021. Prior to joining UBC, he was a Postdoctoral Research Fellow in Learning Analytics and taught in the Master of Applied Data Science at the University of Michigan. His research applies statistical and machine learning techniques on large-scale clickstream data from learning management systems to predict student performance and interactions. Quan completed his Ph.D. in Learning Analytics from The Open University and received his Bachelor’s and Master’s degree in Economics from Maastricht University.
Joel Östblom, Assistant Professor of Teaching, MDS Vancouver
"In addition to the core statistics and machine learning courses, MDS emphasizes the importance of data ethics, reproducibility, and open collaboration, which are crucial skills for a successful, sustainable data science career. Together with the diversity of educational backgrounds among students and instructors, this makes MDS an exciting place to both learn and teach!"
During his PhD, Joel developed a passion for data science and reproducibility through the development of quantitative image analysis pipelines for studying stem cell and developmental biology. He has since co-created or lead the development of several courses and workshops at the University of Toronto and the University of British Columbia. Joel cares deeply about spreading data literacy and excitement over programmatic data analysis, which is reflected in his contributions to open source projects and data science learning resources. Learn more about Joel.
Jungyeul Park, Lecturer, MDS Computational Linguistics
"UBC’s MDS Computational Linguistics is the study of data science and linguistics that empower students to be future ready with tools in computational linguistics. I’m excited to work with our students and explore the new era of natural language processing."
Jungyeul Park received his Ph.D. in Linguistics from the Université Paris Diderot (Paris VII) in 2006. His interest in natural language processing motivated him to pursue Linguistics after initially studying Computer Science. His current research interests include machine learning approaches for morphology and syntax of natural language. He is currently a lecturer in the Department of Linguistics at the University of British Columbia (Vancouver, Canada) and an affiliate assistant professor in the Department of Linguistics at University of Washington (Seattle, USA). Before that he was a visiting assistant professor in the Department of Linguistics at the State University of New York at Buffalo during 2018-2019, a visiting assistant professor in the Department of Linguistics at the University of Arizona during 2016-2017, a research scientist at CEA (Commissariat à l'énergie atomique et aux énergies alternatives) during 2015-2016, and a lecturer (attaché temporaire d'enseignement et de recherche) in the Department of Computer Sciences at IUT de Lannion (Université de Rennes 1) during the academic year 2013-2014.
Gema Rodrigues-Peres, Assistant Professor, MDS Okanagan
"Working with data allows MDS students to play with knowledge. The MDS program is an amazing opportunity for them to expand their skillset and knowledge and make an impact in today’s world. I’m glad to be part of this program."
My research work focuses on empirical software studies that mine the development historical data of software systems. I use a combination of quantitative and qualitative techniques to understand the problem and determine approaches that can help to solve it. Specifically, I research the technical and non-technical aspects in software engineering with the aim of improving software development processes and practices, and increasing diversity in online communities.
Alexi Rodriguez-Arelis, Assistant Professor of Teaching, MDS Vancouver
"One of the MDS program's most outstanding strengths is its background diversity within the teaching team and student cohorts. Furthermore, the program has the perfect balance of Machine Learning and Statistics courses which are complimentary. We strive to provide students with the right theoretical and practical foundations to approach real-life and crucial data-related inquiries."
Alexi Rodríguez-Arelis completed his PhD in Statistics at the University of British Columbia in 2020. Born and raised in Mexico, he pursued an undergraduate degree in Industrial Engineering and a master's degree in Applied Statistics at Tecnológico de Monterrey. His machine learning research focuses on computer experiments that emulate scientific and engineering systems via Gaussian stochastic processes. Moreover, he has professional experience in the financial sector along with statistical consulting. Throughout his PhD program, Alexi developed an enthusiasm for teaching Statistics in a Data Science context. He is particularly passionate about projects involving the use of Data Science for social good. Alexi commenced his current role at MDS in January 2021. Learn more about Alexi.
Vancouver
Milad Maymay, Director, Program Operations and Student Management, MDS Vancouver
"Nearly all the employers I talk to are starting to recognize [or appreciate] the real need for trained and knowledgeable staff who can help them not only make sense of, but also develop the thread of a story, from the vast amount of data that is out there."
Milad Maymay received his Bachelor of Science at the University of British Columbia. He has over 17 years of experience managing projects and programs in both the non-profit and public sectors. At UBC he has managed the Work Study/Work Learn program, the NSERC Undergraduate Research Awards, and the launch of the CareersOnline management system. A trained career educator, he has experience in helping students explore career options, write resumes and cover letters, practise interview skills, and negotiate salaries. Over the years he has built excellent relationships with the local employer community, which helps MDS students achieve their ultimate goal of a fulfilling career as a data scientist.
Angela Pau, Career Advisor, MDS Vancouver
“The continued growth of Data Science jobs across many different industries and the ability to impact business, community and societal decisions makes this a really exciting field of work to be in.”
Angela Pau is an advisor and educator with over 15 years of experience supporting individuals to reach their career goals. She has a Bachelor of Arts from Simon Fraser University and has experience working in both the public and non-profit sector. At UBC she has developed career programming for both undergraduate and graduate students across a multitude of faculties and departments. She also has experience collaborating with campus partners to develop and implement career development strategies for international students and mentoring programs. Since joining MDS, Angela is excited to be making so many new connections to employers, MDS alumni and students who are passionate about Data Science.
Jean Caballero, Senior Graduate Program Assistant, MDS Vancouver
"I am passionate about the field of data science and look forward to connecting with employers, program alumni, and enthusiastic students who share my dedication to this exciting discipline."
Jean Caballero is an accomplished professional with over 7 years of experience in an administrative support role at UBC. Holding a Bachelor of Arts degree from Simon Fraser University, she has a strong academic foundation. Previously, Jean served as an executive assistant to the Computer Science Department Head, refining her organizational and administrative skills. In her current role as MDS Program Assistant, her focus is on supporting program operations, assisting students, and ensuring a seamless learning experience for all involved.
Vanessa Ho, Marketing Coordinator, MDS Program
"I am always amazed and blown away with all the students who pass through the MDS program. They all come from diverse backgrounds who learn from each other as they go through this intensive 10-month program on their path to a new career in data science."
Vanessa Ho obtained her Bachelor's of Journalism degree from the University of Regina and worked for four years as a technology journalist in Toronto. Vanessa moved back to Vancouver in 2008 and transitioned into a career as a digital content creator for a variety of technology companies in the Vancouver area. She started at the MDS program in 2018 as the marketing coordinator chronicling the MDS student journey. Outside of MDS, Vanessa is a pop culture enthusiast and enjoys biking and baking.
"The applications of data science have grown tremendously, and businesses are always looking for new and improved ways of interpreting and leveraging data. The MDS program empowers students to become successful professionals in a high-demand field."
Betty Zhao graduated from the University of British Columbia’s Sauder School of Business with a combined major in business and computer science. She was born in Johannesburg but grew up in Shanghai. She has also lived in Gaborone for six years before coming to Vancouver. Since January 2022, she is honored to work as the course coordinator for the MDS program, and is passionate about helping students find successes in not only academics and careers, but also in their lives. Betty hopes to leverage her unique background in both business and technology to create a fun, safe, and healthy learning environment.
Okanagan
Irene Vrbik, Assistant Professor, MDS Okanagan
“The need for Data Scientists has grown rapidly over a relatively short amount of time. I am proud to be contributing to a program that is keeping pace with this demand.”
Irene Vrbik completed her PhD in Statistics at the University of Guelph and is a newly appointed instructor at the University of British Columbia Okanagan. As a former NSERC Postdoctoral Fellow (UBC Okanagan) and postdoctoral researcher (McGill University), her research has covered a range of topics including: modelling the spread of fire, developing semi-supervised learning algorithms, presenting theoretical results for robust distributions, and analyzing HIV transmission dynamics with phylogenetic data.
Sonya Thomlinson, Career Advisor, MDS Okanagan and Computational Linguistics
“Data Science is a vast and exciting field with the potential to create enormous impact across all sectors and industries. I’m thrilled to be part of one of the highest rated Data Science Professional Programs in Canada."
Sonya Thomlinson has been an entrepreneur for over 20 years as a founder of multiple businesses as well as a US non-profit. Sonya has been building relationships and working with individuals to help them attain their career goals in the MDS program at UBC Okanagan and CL in Vancouver. Since joining UBC in 2022, Sonya has enjoyed the energy and excitement on campus and is passionate about helping students prepare for their future careers, discover their own areas of passion, and ensure that they have the tools to succeed to their fullest potential.
Christel Deas, Program Assistant, MDS Okanagan
“I am honoured to be the Professional Program Assistant for MDS Okanagan and I really enjoy connecting with students, alumni, faculty and external partners of this amazing program.”
Christel Deas has worked in many administrative roles over her lengthy career. Previously, Christel was the Rural Liaison Coordinator with the UBC Faculty of Medicine’s Family Practice Residency Program. She has also worked with public radio and in the legal profession, increasing her administrative knowledge base.
In her current role as MDS Okanagan Program Assistant, Christel supports the program operations, assists faculty, students and prospective students, in all aspects of providing the MDS Okanagan program.
W. John Braun, Professor, MDS Okanagan (On Leave)
"Over the years, I have found no truer statement than that of John Tukey which I paraphrase here: 'The best thing about being a data scientist is that you get to play in everyone's backyard.'"
W. John Braun got his Ph.D. in Statistics from the University of Western Ontario in 1992. Since then, he has held positions at a number of universities, including Western for 14 years where he attained the rank of Full Professor and was Chair of the Statistics Graduate Program for 5 years. In 2014, he took the opportunity to become Head of Computer Science, Mathematics, Physics and Statistics at UBC's Okanagan campus.
He was Deputy Director of the Canadian Statistical Sciences Institute and is now Director of the UBCO site for the Banff International Research Station for Mathematical Innovation and Discovery. Braun's research in statistics is motivated by scientific problems, coming from psychology, biology, medicine, engineering and physics. His methodological contributions are concerned with computational issues around uncertainty quantification and smoothing techniques. He has published over 70 peer-reviewed journal articles and two books in the area of computational statistics.
