Directory

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.
kobus@arizona.edu

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.
melaniebell@arizona.edu
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.
andrbenn@arizona.edu
Pronouns:
he, him, his
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
bucksch@arizona.edu

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
xic@math.arizona.edu
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
zchen1@arizona.edu

Melinda Davis

Research Assistant Professor
Latent variable modeling; Measurement of change; Item response theory; Health outcomes research; Statistical consulting.
mfd@arizona.edu
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.
hding@pharmacy.arizona.edu
Yong Ge

Yong Ge

Associate Professor of Management Information Systems
Research Focuses: data mining, machine/deep learning, AI, recommender systems, and healthcare analytics.
yongge@arizona.edu
Ning Hao

Ning Hao

Member of Executive Committee
Associate Professor, Mathematics
High dimensional data; Machine learning; Change point detection
nhao@arizona.edu
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.
afrooz@arizona.edu
Nicole Kersting

Nicole Kersting

Associate Professor, College of Education
Measurement and educational assessment; Item response and generalizability theory; Value-added models; Random effects models.
nickik@arizona.edu
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
akim127@arizona.edu

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
lishakuang@math.arizona.edu

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
yuefengli@math.arizona.edu

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
yuefengli@math.arizona.edu
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
jliang@pharmacy.arizona.edu
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.
mliang1@arizona.edu
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.
klin@arizona.edu
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
lifenglin@arizona.edu
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
jianliu@sie.arizona.edu
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
wliu@arizona.edu
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
ylu1@arizona.edu
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
Clayton Morrison

Clayton Morrison

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

Jason Pacheco

Assistant Professor, Computer Science
Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making
pachecoj@cs.arizona.edu

Kumar Apurba Saha

M.S. Student
Class of 2024
Current Systems & Industrial Engineering PhD student
Pronouns:
he, him, his
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.
lilianasalvador@arizona.edu
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
sans@arizona.edu
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
jsmith62@math.arizona.edu
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
gvarma@arizona.edu
Pronouns:
she, her, hers

Bruce Walsh

Professor, Ecology and Evolutionary Biology
Biostatistics; Statistical genetics/genomics; Mixed models; Bayesian analysis; Resampling and MCMC methods.
jbwalsh@arizona.edu
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
raoxiong@arizona.edu
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
erfany@arizona.edu
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
lyzeng@arizona.edu

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
lyzeng@arizona.edu

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
xiangzhang@math.arizona.edu