Nov. 28, 2023

Pallav Singh

I am Pallav Singh, a passionate Bioinformatics Ph.D. student. My project aims to democratize multiomics visualization through an innovative web portal, simplifying data analysis and empowering researchers to extract valuable insights from complex biological datasets.

Nov. 28, 2023

Md Kamruz Zaman Rana

Md Kamruz Zaman Rana, a Biomedical Informatics Software Engineer at the University of Missouri, is concurrently advancing his studies with a doctoral degree in Health Informatics at the MU Institute for Data Science and Informatics. Prior to his current role, Rana accrued significant experience as a graduate research assistant over a period of 3.5 years. Additionally, he holds a Master of Science in Medical Informatics and a Bachelor of Science in Computer Science and Engineering. Rana boasts an impressive professional background, with 3 years in web and mobile application development, later progressing to become the lead Android developer at Rankmylist…

Nov. 28, 2023

Polycarp Nalela

I have a Bachelors degree in Science Technology, Masters degree in Biotechnology, and currently pursing a PhD in Informatics. I have worked with data especially analytics for over 10 years. Initially, I started with R analyzing data from breeding trials such as genotype by environment (G&E); genome wide association studies (GWAS); and population genomics. As I advanced my analysis of big and complex data and taking advanced courses in statistics, genomics, databases, machine learning, data mining, and cloud computing, I found myself learning other programing languages (Python, SQL, Bash, C++, and JS) that I now apply in routine workflows. I…

Nov. 28, 2023

Noah Marchel

My research interests are in the use pervasive computing and AI for the healthcare domain, with particular focus on novel ad-hoc machine learning models of multi-modal sensor and electronic medical records as components for augmented decision support interfaces. The primary application of my research is for adaptive model building using continual machine learning and meta-modelling techniques to generate precision health analytics. I have additional interest in the computational mediation of human motor functioning and rehabilitation through remote analysis and verification for clinical therapy and impact of biotelemetry monitoring on quality of life for aging populations.

Nov. 27, 2023

Farzaneh Esmaili

Farzaneh is currently pursuing her PhD in Bioinformatics at the University of Missouri, building on her previous master’s degree in Software and IT Engineering from Iran. Known for her vibrant energy and passion for coding, her famous phrase “I’m coding and doing awesome” encapsulates her lifelong dedication to technology and innovation. Beyond academia, she finds joy in outdoor activities and dance, embodying an active lifestyle. Her passion lies at the intersection of AI and its applications in bioinformatics. With a solid foundation in natural language processing (NLP) and computer vision, she is driven by the conviction that AI can significantly…

Nov. 27, 2023

Yibo Chen

Second year PhD student.

Nov. 27, 2023

Sue Brownawell

Sue Brownawell is pursuing an informatics PhD at the University of Missouri, in the Institute for Data Science and Informatics. Her research interests aim to advance methods in causal inference though geospatial context, resulting in novel approaches for inferring causality. Geospatial information is a key factor affecting the proliferation and evolution of diseases; spatial context includes the critical, interdependent factors of air, water, and soil parameters, socio-economic characteristics, human geography, and infrastructure. Analyzing these factors enlightens our understanding of disease incidence and informs sound policy in its management and control. Though most models in data science and informatics are causal…

Nov. 27, 2023

Christopher Algire

Chris is a PhD student at the University of Missouri’s Institute for Data Science and Informatics. His research interests explore the intersection of Informatics and machine learning. He seeks to advance machine learning algorithms through novel methods using a multi-disciplinary approach, with an emphasis on the role of Informatics in optimizations and representations. His previous experience in industry and government focused on multi-modal data fusion. He implemented agent-based systems and evolutionary algorithms at IBM before working on NLP applications. He also implemented high-performance architectures which resulted in distributed systems for the algorithms he developed. Chris also managed and led a…

Nov. 27, 2023

Mohammad Beheshti

I’m a Health Informatician and PhD student in Health Informatics, specializing in data analytics and data science, with a keen focus on clinical and population data analysis. Currently, I’m a Graduate Research Assistant at the Missouri Cancer Registry and Research Center, where I collaborate closely with the database team to perform the ETL process for cancer data collected from across the state of Missouri. My work also involves building predictive models and utilizing data to enhance patient outcomes. I’m deeply passionate about using data to drive positive changes in healthcare.