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Michigan Data Science Mentor

Alex Lam Tsoi

* Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis. J Invest Dermatol.141(6): 1493-1502, 06/2021. This study investigates the genetic overlap and causal relationships between psoriasis and type 2 diabetes (T2D). Using trans-disease meta-analysis (TDMA), we identified shared genetic loci that suggest a potential common pathophysiological pathway between the ...

Jiayu Zhou

My main research activities address the fundamental challenges of machine learning when applied to real-world applications. My research theme is to develop generalizable, scalable, interpretable, and privacy-preserving approaches that can effectively mine insights from big data and validate and incorporate such insights in application domains, especially health informatics. My long-term research vision is to achieve ...

Benjamin Goldstein

Benjamin Goldstein is Assistant Professor of Environment and Sustainability and head of the Sustainable Urban-Rural Futures (SURF) lab. The SURF Lab (www.surf-lab.ca) studies and emphasizes urban sustainability at multiple scales. Through his work at the SURF Lab, Benjamin helps understand how urban processes and urban form drive the consumption of materials and energy in cities ...

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 ...

Jacob Allgeier

My goal as an ecologist is to apply ecological theory to help solve real-world conservation issues. Specifically, I seek to identify the mechanisms by which behavioral, population, and community dynamics mediate nutrient and energy pathways. The objective is to improve our ability to predict ecological outcomes, and enhance conservation efficacy such as the sustainability of ...

Venkat Viswanathan

Research on computational modeling of energy materials design and optimization 1) I led this large research project on developing machine-learning guided materials discovery demonstrating speed-up of over 80% over traditional methods. 2) My research group runs a popular Scientific Machine Learning webinar series: https://micde.umich.edu/news-events/sciml-webinar-series/

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 ...

Mohammed Ombadi

My research focuses on understanding and quantifying climate change impacts on hydroclimatic extremes. From heavy storms and floods to extreme heatwaves and droughts, I study the changing characteristics of these events and their impacts on our daily lives. I use a wide range of data-driven methods such as causal inference, information theory, nonlinear dynamics and ...

Bing Ye

The focus of our research is to address (1) how neuronal development contributes to the assembly and function of the nervous system, and (2) how defects in this process lead to brain disorders. We take a multidisciplinary approach that include genetics, cell biology, developmental biology, biochemistry, advanced imaging (for neuronal structures and activity), electrophysiology, computation ...