Statistics in Pharmaceuticals 2021 (SIP2021)

Abraham Adokwei
Abraham is from Ghana. He is a Graduate Teaching Assistant in the Department of Statistics at Iowa State University working toward an MS Statistics degree. He seeks to become a top-notch researcher in the field of Statistics with a particular focus on the analysis of data that typically arise in modern biomedical research.

Prince Allotey
Prince is from Ghana, West Africa.  He is currently a Ph.D. student in The Department of Statistics at University of Connecticut and working under the supervision of Dr. Ofer Harel. His research focuses on Incomplete Data, Bayesian Statistics and Spatial Statistics. His long-term goal is to become a full Professor in Statistics.

Danielle Brister
Danielle is a 4th year undergraduate student studying chemistry at Arizona State University (ASU). She currently works as a biostatistics research assistant at the ASU Biodesign Institute's Center for Personalized Diagnostics, where she assists Dr. Yunro Chung in developing statistical methods for the evaluation of novel cancer biomarkers.

Alidan Duoerkongjiang
Alidan is from Xinjiang Province, China. She is currently a Master student in Medical Biometry/Biostatistics at University of Bremen in Germany. Her research focuses on Neurological Data, Statistics Modeling and Statistics Analysis. Her long-term goal is to become a statistician.

Sana Gupta
Sana is an undergraduate student at the University of Connecticut. She is a Statistics major and Bioinformatics minor in the UConn Honors Program. Sana is passionate about statistics and science, and she hopes to work in the pharmaceutical industry as a statistician for pharmaceutical clinical studies and research in the future.

Chuks Ijede
Chuks is from Nigeria. He a Student of Bremen University in Germany where he is doing Masters degree in Medical Biometry/ Biostatistics. His carrier goal is to become an outstanding scholar and practitioner in the field of Biostatistics, that will help translate globally acceptable development target into locally achievable development aspiration that the masses can relate with.

Yinxue Li
Yinxue comes from China. She is currently a second-year graduate student in the Department of Statistics at University of Connecticut working toward an MS Biostatistics degree.  Yinxue seeks to become a renowned biostatistician in the pharmaceutical field after graduation. 

Pearl Mberede
Pearl is a Nigerian. She is currently a master’s student of Medical Biometry/Biostatistics at the University of Bremen, Germany. Pearl’s long-term goal is to become a renowned research-scientist in the field of medical research that are based on tropical diseases and Gynecology.

Okafor Okwunchuwku Stanley
Okafor is from Nigeria. He is currently a M.Sc student in the department of Medical Biometry/Biostatistics at faculty 3, Mathematics and Computer Science, in the University of Bremen, Germany. His goal is to become a professional  medical biostatistician involved in advancement of public health through clinical research and drug development. 

Yanzhao Wang
Yanzhao is a 4th-year Ph.D. Candidate at WPI. His research interest is in Spatio-temporal outbreak detection, Bayesian hierarchical model with STAN, and Bayesian Inference approximation with INLA. He has a strong interest in statistics in Pharma.

Diezhang Wu
Diezhang is originally from China. She graduated from Boston University with an MS in Applied Biostatistics and is currently a Ph.D student of Biostatistics at UMass Amherst. She is doing research with Dr. Leontine Alkema, focusing on Bayesian Hierarchical modeling. Her goal is to work as Biostatistician in the pharmaceutical industry after graduation.

Muskan Yadav
Muskan is an international student from India and she is pursuing master's in applied mathematics. “Math for me is more than just numbers and textbooks it is an inseparable part of my life. For me math is not a task, rather it is a deep-rooted question that must be answered.” Muskan wants to be able to teach math to be enigmatic and beguiling, and not as an arduous and boring subject.