Directory

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Lingling An

Lingling An

Member of Executive Committee
Associate Professor, Biosystems Engineering
Statistical genomics/metagenomics; Single cell data analysis; Data mining and machine learning
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Kobus Barnard

Kobus Barnard

Professor, School of Mind, Brain and Behavior
Machine learning; Mathematical modeling of geometric form; Multi-modal data; Statistical applications in computer vision.
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Melanie Bell

Professor, Epidemiology and Biostatistics
Research focus is methods for handling missing data in intervention and cluster randomized trials, patient reported outcomes, and on research methods evaluation.
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Andrew Bennett

Andrew Bennett

Assistant Professor, Hydrology and Atmospheric Sciences
Research interests include computational hydrology, with a focus on deep learning, physically based models and hybrid differentiable models. Also scientific computing and open science.
Pronouns:
he, him, his
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Alexander Bucksch

Alexander Bucksch

Associate Professor - School of Plant Sciences
​​Our​ research is motivated by the threads that climate change imposes on the agricultural and natural plant ecosystem. Therefore, we develop imaging and simulation approaches to understand the function of natural variation in plants
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Xi Chen

M.S. Student
Class of 2023
Faculty Advisor Joe Watkins
B.S. Quality and Reliability Engineering, Beihang University, M.S. Control Science and Engineering, Beihang University
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Zhuo Chen

Zhuo Chen

PhD Student
Class of 2024
Faculty Advisor Lingling An
B.A. Business Admin, Dongbei University of Finance & Economics, M.S. Mathematical Sciences Statistics Track, University of Minnesota
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Melinda Davis

Research Assistant Professor
Latent variable modeling; Measurement of change; Item response theory; Health outcomes research; Statistical consulting.
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Hongxu Ding

Hongxu Ding

Assistant Professor, Translational Pharmacogenomics
Single-cell analysis, nanopore sequencing. His lab develops computational biology approaches to interpret single-cell omics profiles and nanopore sequencing readouts.
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Ning Hao

Ning Hao

Member of Executive Committee
Associate Professor, Mathematics
High dimensional data; Machine learning; Change point detection
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Afrooz Jaililadeh

Afrooz Jalilzadeh

Assistant Professor of Systems and Industrial Engineering
Research is focused on the design, analysis, and implementation of stochastic approximation methods for solving convex optimization and stochastic variational inequality problems with applications in machine learning, game theory, and power systems.
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Nicole Kersting

Nicole Kersting

Associate Professor, College of Education
Measurement and educational assessment; Item response and generalizability theory; Value-added models; Random effects models.
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Amy Kim

Amy Kim

PhD Student
Class of 2023
Faculty Advisor Helen Zhang
B.S. Applied Math and Statistics, Johns Hopkins University M.A. Economics, University of Arizona
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Lisha Kuang

M.S. Student
Class of 2024
Faculty Advisor Joe Watkins
B.S. Biological Science East China Normal University, M.S. Statistics University of Kentucky, Ph.D. Biomedical Science East China Normal University
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Yuefeng Li

M.S. Student
Class of 2022
Faculty Advisor Joe Watkins
B.S. Computer Science/Mathematics University of Arizona, Bachelor of Engineering in Communication Engineering, Dalian Jiaotong University
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Yuefeng Li

M.S. Student
Class of 2022
Faculty Advisor Joe Watkins
B.S. Computer Science/Mathematics University of Arizona, Bachelor of Engineering in Communication Engineering, Dalian Jiaotong University
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Jingjing Liang

Jingjing Liang

Assistant Research Professor, R Ken Coit College of Pharmacy
Statistical genetics and genomics, including computational methods for analyzing large-scale sequencing data, rare variant association analysis, genomics-driven drug target discovery and precision medicine
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Mingyu Liang

Mingyu Liang

Professor and Department Head, Physiology
The Liang group studies molecular systems medicine. e. The current work in our group focuses on three areas: (epi)genomics and precision medicine, regulatory RNA, and cellular metabolism, as they relate to hypertension, cardiovascular and kidney disease.
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Kevin Lin

Kevin Lin

Associate Professor Mathematics
Stochastic nonlinear phenomena in biology and physics, especially problems from computational neuroscience and nonequilibrium statistical physics; Monte Carlo algorithms; numerical methods for stochastic differential equations; scientific computing.
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Lifeng Lin

Lifeng Lin

Associate Professor, Epidemiology and Biostatistics
Dr. Lin has worked extensively on statistical methods for meta-analysis, network meta-analysis of multiple-treatment comparisons, publication bias, and Bayesian methods. He is also interested in the applications of statistical methods to real-world proble
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Jian Liu

Jian Liu

Associate Professor, Systems & Industrial Engineering
Dr Liu's research is in the integration of manufacturing engineering knowledge, control theory and advanced statistics for product quality and productivity improvement. His recent research focuses on system prognostic/diagnostic modeling and analysis and
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Wen-Wei Liu

Wen-Wei Liu

PhD Student
Class of 2024
Faculty Advisor Lingling An
B.S. Plant Pathology and Microbiology, National Taiwan University, M.S. Biostatistics, Duke University
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Yingying Lu

Yingying Lu

PhD Student
Class of 2023
Faculty Advisor Lingling An
B.A. International Economics and Trade, Central Southern University of Forestry and Technology M.B.A., University of Arkansas-Fayetteville M.S. Statistics and Operation Research, Southern Illinois University-Edwardsville
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Wenting Luo

Wenting Luo

Ph.D. Student
Class of 2025
Faculty Advisor Helen Zhang
BS Veterinary Medicine Northeast Agricultural University Harbin China, MS Preventive Veterinary Medicine Zhejiang University Hangzhou China
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Clayton Morrison

Clayton Morrison

Professor, School of Information
Machine Learning, Causal Inference, Activity Recognition and Understanding, Automated Planning, Knowledge Representation, Computational Cognitive Science
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Jason Pacheco

Jason Pacheco

Assistant Professor, Computer Science
Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making
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Kumar Apurba Saha

M.S. Student
Class of 2024
Current Systems & Industrial Engineering PhD student
Pronouns:
he, him, his
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Liliana Salvador

Liliana Salvador

Assistant Professor, Animal & Comparative Biomedical Sciences
Multidisciplinary approach to study the dynamics of zoonotic infectious diseases. We develop computational, mathematical and data-driven models to understand the ecology and evolution of infectious diseases at the wildlife, livestock and human interface.
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Maria Sans-Fuentes

Maria Sans-Fuentes

Ph.D. Student
Class of 2024
Faulty Advisor Walt Piegorsch
BS Biology, University of Barcelona, Doctoral Degree Biology, University of Barcelona, Experimental Master's Degree Pharmaceutical Science, University of Barcelona
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James Smith

James Smith

M.S. Student
Class of 2023
Faculty Advisor Nicole Kersting
B.A. English University of South Caroline, Columbia, MA Curriculum and Instruction - ELS, Arizona State University, Master of Teaching - Elementary Teaching University of South Carolina, Columbia
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Gayathri Varma

Gayathri Varma

M.S. Student
Class of 2025
B.S. and M.S. in Mathematics Mahatma Gandhi University Kottayam, KL, India. Ph.D. Mathematics National Institute of Technology, Kozhikode, India
Pronouns:
she, her, hers
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Bruce Walsh

Professor, Ecology and Evolutionary Biology
Biostatistics; Statistical genetics/genomics; Mixed models; Bayesian analysis; Resampling and MCMC methods.
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Rao Xiong

Rao Xiong

Ph.D. Student
Class of 2023
Faculty Advisor Nicki Kersting
B.A. in International Business, Westminster College (SLC), M.S. in Education, University of Pennsylvania
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Erfan Yazdandost Hamedani

Erfan Yazdandost Hamedani

Assistant Professor, Systems and Industrial Engineering
Methodologies in Optimization: Saddle point problems, Distributed Optimization, Bilevel Optimization.Applications: Machine Learning, Data Science, Artificial Intelligence
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Liyun Zeng

PhD Student
Class of 2022
Faculty Advisor Helen Zhang
B.S. Biological Science, Sichuan University Ph.D. Molecular and Cellular Biology, University of Washington
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Zeng, Liyun

Liyun Zeng

PhD Student
Class of 2022
Faculty Advisor Helen Zhang
B.S. Biological Science, Sichuan University Ph.D. Molecular and Cellular Biology, University of Washington
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Xiang Zhang

M.S. Student
Class of 2021
Faculty Advisor Lingling An
M.S. Statistics Indiana University Bloomington, M.S. Chemical and Biomolecular Engineering Ohio State University, M.S. Food & Biological Engineering, Ohio State University