Jungsik Noh, PhD
Since December 2017, Jungsik Noh has been appointed as an Assistant Professor in the Lyda Hill Department of Bioinformatics. He received his Ph.D. in Statistics from Seoul National University in Korea (2000–2010), where his research focused on statistical inference for time series models and dynamic systems. After relocating to the U.S., he steered his research interests toward biomedical video data and computational cell biology. Since 2014, he has been working at UTSW developing machine learning and statistical methodologies for studying dynamic biological systems such as cytoskeleton and neural activity dynamics. In 2021, he developed and published a machine-learning based pipeline for COVID-19 data to estimate the numbers of currently infected populations worldwide that are hidden due to under-ascertainment of the COVID infections. This study was addressed in >20 news outlets worldwide.
Anteneh Asmare Godana, PhD
Anteneh Asmare Godana was born and raised in Ethiopia, Africa. He completed his BSC in statistics from Arba Minch University, Ethiopia, in 2009, his MSC in applied statistics from Hawassa university, Ethiopia, in 2012, and his Ph.D. in statistics from the joint Jomo Kenyatta University of Agriculture and Technology (JKUAT) and the Pan African University Institute for Basic Science and Technology and Innovations (PAUSTI), Kenya in 2019. His doctoral research was dynamic spatiotemporal modeling of visceral leishmaniasis in humans and investigated the determinants of visceral leishmaniasis in humans. Being co-mentored by Drs. Danuser and Noh, Anteneh Godana studies an extension of the existing SPAR-based Granger Causal Inference to a larger number of biological variables that will be able to establish methods to identify breaks in the causal structure of dynamic systems. Outside the laboratory, he enjoys playing football (aka soccer), watching soccer games, and participating in research activities and academic training.