Stony Brook University Applied Mathematics and Statistics

Prof. Suil O is organizing a workshop on Spectral Graph Theory from October 7th to October 9th. This workshop is partially supported by the National Research Foundation of Korea and SUNY Korea.  If you are interested in the workshop, please feel free to join us. It is open to the public. You may find the detailed information from the workshop homepage from the link HERE.

A warm welcome from SBU AMS Department for the Fall 2022 SUNY Korea visiting students!

Prof. Hyunwook Koh in AMS is looking for a research assistant who will work on statistical methods for human microbiome studies. The research topics can include (but are not limited to) 1) causal inference, and mediation analysis; 2) repeated measures analysis; 3) machine learning; 4) web-based software development; 5) collaborative studies and data analysis. If you are interested, please send your CV and transcripts to Prof. Koh (hyunwook.koh@stonybrook.edu). Please find the attachment for more details.

<Dr. Hongshik Ahn, Juan Kim, Solha Park, Gu Won, Dr. Myoungshic Jhun> Please join us in congratulating the class of Spring 2022! We have a total of 12 students graduating this Spring 2022. 3 students attended the commencement ceremony at SUNY Korea on June 17, and the other 9 students attended the commencement at Stony Brook University New York Campus on May 20. Master's Degree - Won Gu, Suea Kwon Bachelor's Degree - Seung Won Byun, Hakyung Cha, Nilson Chapagain, Crispen Chisina, Juan Kim, Seowon Lee, Nara Park, Solha Park, Kushal Sedhai, Hyunju Tahk AMS Department wishes the best to all the AMS graduates on their new journey!

1 SUNY Korea AMS graduate student (Gu Won) and 3 undergraduate students (Nilson Chapagain, Seowon Lee, and Solha Park) have been awarded honor selections from SBU AMS Department. This honoring ceremony is to celebrate the students who have performed outstanding performances throughout the semesters.  Please join us in congratulating the students!

  Prof. Suil O has been carrying out research works with students at the Incheon Academy of Science and Arts as part of the STEAM activity since 2019. The research work that had been done in 2020 has been recently published online in a mathematics journal in May 2022. Click the following link: https://www.tandfonline.com/doi/full/10.1080/03081087.2022.2076799

Speaker: Dr. Wonil Chung  Place: Online via Zoom, Zoom ID: 938 0290 9321 / Passcode: ams Time: Thu, 05/26/2022 - 16:00 About the speaker  Dr. Wonil Chung is an Assistant Professor in Statistics at Soongsil University. Before that, he was a research associate at Harvard T.H. Chan School of Public Health and received his Ph.D. degree in Biostatistics from the University of North Carolina at Chapel Hill (UNC) and MS and BS degrees in Statistics from Seoul National University. His research interests are in Biostatistics, Statistical Genetics, Big Data, Statistical Learning and Deep Learning. Abstract Although Type 2 diabetes (T2D) have been known as one of the important risk factors for the severity and mortality of COVID-19, the effect of T2D and its genetic susceptibility on COVID-19 are largely unknown. We analyzed the population-based cohort data of 459,188 individuals from UK Biobank with COVID-19 test results, individuals’ hospitalization data and death-related records during the period from March 11, 2020 to December 20, 2021. First, we investigated the association of T2D, and its genetic susceptibility with COVID-19 infection using multivariable logistic regression model. To capture overall genetic susceptibility for T2D, we computed polygenic risk scores (PRS) based on summary statistics from UK Biobank. In the multivariable logistic models, we found that the odds ratio (OR) of T2D was 1.555 (P= 3.49*10-86) and OR of PRS for T2D with one-unit (=standard deviation) increase in PRS was 1.064 (P=3.11*10-12), indicating the roles of T2D-related genetics in the pathogenesis of COVID-19 infection. Next, we performed multivariable Cox proportional hazard models to investigate the effect of T2D patients infected with COVID-19 on the survival times. The estimated survival curves and pairwise log-rank tests showed that the estimated hazard for COVID-19 infected T2D patients were 4.67 times (P=9.88*10-324) and 2.58 times (P=6.20*10-231) higher than individuals without COVID-19 infection and T2D, respectively and the hazard ratio (HR) of PRS for T2D with one-unit increase in PRS was 1.088 (P=4.76*10-14). Furthermore, we found the mortality of COVID-19 infected T2D patients was dramatically increased compared to T2D patients not infected with COVID-19 and the mortality of individuals with high genetic susceptibility for T2D was increased as well.    

Speaker: Dr. Nguyen Nang Thieu  Place: Online via Zoom, Zoom ID: 987 9649 9819 / Passcode: ams Time: Fri, 04/29/2022 - 16:00 About the speaker Dr. Thieu Nguyen graduated from the University of Limoges with Ph.D. in Applied Mathematics and graduated from Hanoi University of Science, Vietnam National University with Bachelor’s degree in Mathematics, Mechanics, and Informatics. His research interests are in Nonsmooth Dynamical Systems, Optimization, and Variational Analysis. Abstract Among many nonsmooth dynamical systems, sweeping processes have been recognized significantly for their broad applications in mechanics, physics, engineering, and social sciences. Pioneered by J. J. Moreau, sweeping processes have been studied and developed intensively in the last 50 years. In this talk, we will discuss a class of sweeping processes. Namely, we obtain solution existence theorems for perturbed sweeping processes, which are analogies to the two well-known Peano and Picard-Lindelöf theorems in ordinary differential equations. The convexity assumption on the constraint sets is weakened and replaced by a natural and effective generalization of convexity so-called prox-regularity. The results are applied to analyzing the behavior of some concrete mechanical sweeping processes.  

    Solha Park has been invited to the Department of Applied Mathematics and Statistics at Stony Brook New York campus's annual, informal celebration honoring a very select group of outstanding AMS students who have earned special recognition from AMS.  Solha has participated in the ceremony via Zoom on March 31st, 2022.  Please join us in congratulating her on her great achievement!  

Won Gu, one of our AMS master's students has received a Ph.D. offer from the Statistics Department at Penn State University with full financial support for five years, along with a fellowship in the first year.  Won Gu has graduated from Applied Mathematics and Statistics Department at SUNY Korea in Spring 2021 as a valedictorian. Won Gu continued her MS program from the AMS BS/MS Accelerated Program at SUNY Korea in Fall 2021 and this Spring 2022 will be her last semester.   Nilson Chapagain has been admitted to the Ph.D. program in Statistics from Texas A&M University, College Station. Nilson will be receiving a guaranteed stipend as a Graduate Teaching Assistant throughout the program period. He will be joining the interdisciplinary research in collaboration with the Computer Science and Statistics Department. Nilson will graduate from SUNY Korea with a Bachler's Degree in Applied Mathematics and Statistics and a minor in Computer Science in Spring 2022.    Please join us in congratulating Won Gu and Nilson on the successful beginning of their Ph.D. program!

Speaker: Dr. Il-Youp Kwak  Place: Online via Zoom, Zoom ID: 934 0110 4420 / Passcode: ams Time: Thu, 11/18/2021 - 16:00 About the speaker Dr. Il-Youp Kwak is an Assistant Professor in the Department of Applied Statistics at Chung-Ang University. Before that, he worked as a Postdoctoral Associate in the Division of Biostatistics at University of Minnesota and then worked as a Staff Engineer in Samsung Research at Seoul R&D Campus. Prof. Kwak received his PhD degree in Statistics from University of Wisconsin-Madison. His research interests are in big data, biostatistics, statistical software, and deep learning. Abstract It is becoming more convenient to collect and store data from various organizations such as corporations, governments, and academia. Yes, interest in big data and AI is higher now than ever before. Efficiently solving problems based on various types of collected data is a common interest of companies, governments, and academia, and data scientists are at the center of this. According to Glassdoor, a job site in the United States, data scientists have been selected as the best job for three consecutive years from 2016 to 2019. In this presentation, we will learn about Data Scientists - who they are, why they get so much attention, what they are doing, and how to become data scientists.    

Professor Suil O has been selected as a recipient of the NRF-NSFC core cooperation program (National Research Foundation of Korea and National Natural Science Foundation of China), funded by the Ministry of Science and ICT. He will serve as the Co-Principal Investigator for the research project “Algebraic and structural problems of graphs on surfaces” for 3 years (2021.12.01~2024.11.30).  

Speaker: Dr. Irene Kim  Place: Online via Zoom, Zoom ID: 997 6634 3524 / Passcode: 556273 Time: Thu, 10/28/2021 - 11:00 About the speaker Dr. Irene Kim graduated from the University of California at Davis with Ph.D. in Statistics and graduated from Stony Brook University with Bachelor’s degree in Mathematics. Her research interests are in Machine Learning, deep learning, representation learning, and uncertainty quantification Abstract This talk will be divided into two parts where the first part will be on my current research, and the second part will be focused on sharing my experience at Stony Brook University and studying Math/Applied Math as an undergraduate degree. PART 1: In this talk, I will take an oil reservoir modeling and a history matching problem as an example to address the challenges of modern data analysis. As modern data become more complex and higher dimensional, finding a way to represent the data in a concise and useful form is an important problem. An auto-encoder can be used to find a low dimensional representation for an oil reservoir data and used for history matching problem. PART 2: Experience at Stony Brook University as a math major, life after graduation, job interview etc.  

  A warm welcome from SBU AMS Department for SUNY Korea students!  

Professor Suil O has been selected as a recipient of the NRF-NSFC Joint Grant (National Research Foundation of Korea and National Natural Science Foundation of China), funded by the Ministry of Science and ICT. He will serve as the principal investigator for the research project “Spectral Radii of Saturated Graphs” for 2 years (2021.09.01~2023.08.31).