Dr. Yogasudha (Sudha) Veturi, Ph.D., is an Assistant Professor of Biobehavioral Health and Statistics at Penn State University. She holds an undergraduate degree in mathematical statistics from University of Delhi, a master’s degree in statistics from North Carolina State University, a master’s (thesis) degree in plant quantitative genetics from the University of Delaware and a Ph.D. at the University of Alabama at Birmingham, where she developed statistical methods (whole genome generalized linear regressions) to understand genetic architectures of complex human traits in diverse populations for complex human diseases including type-II diabetes, obesity, and breast cancer. She completed her postdoctoral research in the Department of Genetics at the University of Pennsylvania, under the mentorship of Dr Marylyn Ritchie, where she integrated her expertise in statistical model development and quantitative genetics with electronic health records data from large-scale biobanks to address meaningful healthcare related problems. She also conducted genome-wide association studies for the electronic Medical Records and GEnomics cohort that is part of large scale multi-university consortia such as GIANT (Genetic Investigation of Anthropometric Traits), GLGC (Global Lipids Genetics Consortium), and for Penn Medicine BioBank that is part of GBMI (Global Biobank Meta-analysis Initiative). She has published first-author papers in journals such as Nature Genetics and Genetics and co-authored papers in Nature, Nature Communications and JAMA Psychiatry among others. Her vision is to build statistical and computational methods to predict disease risk in an individual, fine-tuned to their ancestry, gender, genetics and environment!
In her free time, she likes to spend time with her two toddlers and black lab, and do yoga!
I am a PhD student in the Bioinformatics and Genomics program. My research interests lie in integrating diverse data layers, particularly multi-omic datasets, to unravel the mechanisms underlying cognitive decline and neurodegenerative-related outcomes.
Amanuel Godana Arero is a Postdoctoral Associate in the VeturiLab at Penn State Universit. Currently, under the supervision of Dr. Yogasudha Veturi, Amanuel is working to build a framework to understand population-level, time-dependent disease trajectories for cognitive impairment and dementia.
I'm in my second year of the Master of Applied Statistics (MAS) program at Penn State, where I also earned my bachelor’s degree in Statistics with a minor in Mathematics. Outside of school, I enjoy cooking and recently started learning how to bake.
Aditya completed his bachelor's in Electrical Engineering from Indian Institute of Technology (ISM) Dhanbad, India and Master's in Electrical and Computer Engineering from Ohio State University. He is currently working as a Research assistant at Veturi Lab, Penn State University. His research interests include optimization and machine learning applications in Bioinformatics.
My name is Mohamed Abdelrahman, I am a Biostatistician in the Veturi Lab at Penn State. I am interested in leveraging statistical and machine learning methodologies to analyze human genomic and multi-omic datasets, with the goal of uncovering the genetic factors that drive disease and shape polygenic traits.
Lingxuan Liu, graduated from Shandong University of Science and Technology with a B.S. in Statistics (Data Analytics Track) and later received M.S. in Applied Analytics from Columbia University. She is passionate about data science in public health and joined the lab as a visiting scholar in June 2024. She enjoys traveling and skateboarding, exploring new cities and meeting new people.
MS student, Dept of Computer Science and Engg, Research Assistant and programming support at Veturi Lab
Abner Apsley recently received his PhD in Molecular, Cellular, and Integrative Biological Sciences from the Pennsylvania State University and works in the Veturi Lab studying the effect of variable-number tandem repeats on psychiatric phenotypes. In general, Abner uses systems biology and multiomic integration techniques to study human health and disease.
Anni is currently a graduate student in the Genomics and Computational Biology program at Penn, where she uses genomic, expression, and EHR data to build pipelines that investigate human disease associations. Despite her origins as a wet lab scientist during her undergraduate studies at the University of Virginia, she gained her foundation in and love for computational biology as a NIH postbac in the Neurogenetics lab at the National Institute on Aging. Outside of lab she spends her time sewing, doing yoga, hiking and finding any excuse to be outside.
For any inquiries about positions in the lab, please contact yzv101@psu.edu.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.