Dr Jasmit Shah

UtiliZing health Information for Meaningful impact in East Africa through Data Science

Dr. Jasmit Shah holds a Doctorate of Philosophy (PhD) in Bioinformatics and Biostatistics from University of Louisville (2017), Masters in Bioinformatics and Biostatistics from University of Louisville (2011), and a Bachelors in Mathematics, Statistics and Chemistry from University of South Alabama (2009). He has ten plus years' experience in supervising research and data management, data analysis and statistics. His responsibilities have included conducting research and analyzing data for health solutions; use of statistical methods in observational epidemiological studies, clinical trials and computing applications. He also has experience conducting population level studies in low- and middle-income (LMIC) settings such as Kenya, Ethiopia, Zambia, Mozambique and Pakistan. He is one of the lead trainers for EQUIST 2.0, a tool designed by UNICEF to enable the global health community to address the issue of equity in maternal, newborn and child health, and minimize health disparities among populations and has led the use and evaluation of EQUIST 2.0 in Ethiopia, Mozambique, Zambia and Pakistan. He also has experience with LiST Tool as EQUIST uses LiST for impact projection and certain aspects of costing.

Dr Rolanda Julius

DS-I Africa Coordinating Center

Rolanda holds a PhD with research interests in rodent-borne zoonotic diseases, parasitology and molecular phylogenetics. She has experience in teaching molecular techniques and is dedicated to promote public health awareness and life science education.

Mr Wisdom Akurugu

DS-I Africa Coordinating Center

Wisdom Akurugu holds BSc Biochemistry (Single Major) and MSc Bioinformatics degrees. Wisdom is interested in understanding genetic factors that place a person at risk of developing diseases. He has been mining human genetic exome data for variations that may protect or predispose asthmatic children on corticosteroid treatment to hypothalamic-pituitary-adrenal suppression (HPAS). He is using various Bioinformatics, Computational and Statistical algorithms to identify, annotate and assess the impact of the potential variants on HPAS. Wisdom is enthusiastic about contributing to the effective and efficient treatment of asthmatics on corticosteroids based on his current project. In the near future, he looks to developing Bioinformatics, Computational and Statistical competencies in analysing large-scale robust genomic data. He is opened to collaborations in the areas of genomics, proteomics, transcriptomics, structural biology, software development and teaching.