Computing

Suraj Rampure

As teaching faculty, Suraj spends his time teaching students how to think critically with data. He teaches students the theoretical foundations of data science, from empirical risk minimization, linear algebra, and probability, to more practical aspects, from tabular data manipulation and web scraping to model building and cross-validation, with an emphasis on implementation in Python. ...

Mosharaf Chowdhury

I am a computer scientist and an associate professor at CSE Michigan, where I lead the SymbioticLab (https://symbioticlab.org/). My research improves application performance and system efficiency of AI/ML and Big Data workloads with a recent focus on optimizing energy consumption and data privacy. I lead the ML Energy initiative (https://ml.energy/), a consortium of researchers focusing ...

Carol Menassa

My group’s research focuses on understanding and modeling the interconnections between human experience and the built environment. We design autonomous systems that support wellbeing, safety and productivity of office and construction workers, and provides them opportunities for lifelong learning and upskilling. In all research projects, we work hard to ensure that the results are inclusive ...

Cyrus Omar

I lead the Future of Programming Lab (FP Lab), where we design modern user interfaces for modern programming languages. Much of how we program today is rooted in tools designed 40+ years ago, e.g. how we enter code (using simple text editing, which leads to profligate parse errors), how we validate code (using tests or ...

Christian Sandvig

I am a researcher specializing in discovering the consequences of computer systems that curate and organize culture. A major theme of my research investigates accountability mechanisms for machine learning and artificial intelligence. My research group coined the phrase “algorithmic auditing” in a 2014 paper; this was subsequently made suggested reading for submissions to the first ...

Cheng Li

My research focuses on developing advanced numerical models and computational tools to enhance our understanding and prediction capabilities for both terrestrial and extraterrestrial climate systems. By leveraging the power of data science, I aim to unravel the complexities of atmospheric dynamics and climate processes on Earth, as well as on other planets such as Mars, ...

Dani Jones

Dani Jones’ research program drives CIGLR’s portfolio of research in data science, machine learning, and artificial intelligence, as applied to physical limnology, weather forecasting, water cycle predictions, ecology, and observing system design. This research program aims is to advance societal adaptations to the effects of climate change, including flooding of coasts, rivers, and cities. Dani’s ...

Irina Gaynanova

Dr. Gaynanova’s research focuses on the development of statistical methods for analysis of modern high-dimensional biomedical data. Her methodological interests are in data integration, machine learning and high-dimensional statistics, motivated by challenges arising in analyses of multi-omics data (e.g., RNASeq, metabolomics, micribiome) and data from wearable devices (continuous glucose monitors, ambulatory blood pressure monitors, activity ...

Qiong Yang

My research program at the University of Michigan (UM) integrates the fields of biophysics, quantitative systems biology, and bottom-up synthetic biology to understand complex stochastic cellular and developmental processes in early embryos. We have developed innovative computational and experimental techniques in microfluidics and imaging to allow high-throughput quantitative manipulation and single-cell lineage tracking of cellular ...

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Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Peter Adriaens

Professor, Civil and Environmental Engineering, College of Engineering Ross School of Business School for Environment and Sustainability

Omar Jamil Ahmed

Assistant Professor, Psychology

Camille Avestruz

Assistant Professor, Physics, LSA

Veera Baladandayuthapani

Professor, Biostatistics, School of Public Health

Albert S. Berahas

Assistant Professor, Industrial & Operations Engineering

David Brang

Associate Professor, Psychology

Christopher Brooks

Research Assistant Professor, School of Information Director, Learning Analytics and Research in the Office of Digital Education & Innovation

Mithun Chakraborty

Assistant Research Scientist, Computer Science and Engineering, Electrical Engineering and Computer Science