Biography
Evan Brown is an aspiring data scientist with a background in bioinformatics and biology. He is currently working towards a Masters in Biomedical Data Science from Meharry Medical College, and previously obtained his Masters in Bioinformatics from the University of Alabama at Birmingham. His current research background involves projects surrounding Bainbridge-Ropers Syndrome and analyzing drug-to-drug and drug-to-gene interactions across a plethora of databases. His beginner-intermediate level of skill in programming languages like Python will allow him to utilize AI/ML applications in various disciplines, and work towards integrating biomedical data management techniques in a collaborative format. His desire to help underprivileged communities in combating the increased risk of various chronic diseases is what drives him to pursue research.
Academic Information
Status: Masters Student
Year in Program: 1st
Major/Specialty: Biomedical Data Science
Degrees: M.S. Biomedical Data Science - In Progress (2025 - 2027) M.S. Bioinformatics/Multidisciplinary Biomedical Sciences - Earned (2023 - 2024) M.S. Health Sciences - Earned (2021 - 2022) B.A. Biology - Earned (2017 - 2021)
Research Areas
Data Science
Research Interests
My current research interests involve type 2 diabetes/prediabetes prevention through predictive models using freely available data. This will involve strong foundations in data science and AI/ML, which are two concentrations that currently have strong prospects in fields such as chemistry, environmental sciences, and even finances. The possibility of using these tools to curate models that can predict the risk of specific chronic illnesses in surrounding communities or even forecast trends surrounding the use of antibiotics are all research areas that I have a strong interest in. I am open to working on any scientific domain that can help solve problems in our community and society. With the advancements of AI/ML in areas such as geospatial data and large-scale network analysis, I aspire to pair big data analysis alongside the use of supercomputers to tackle real-world problems and contribute my analytical techniques towards developing beneficial data pipelines. Through the hands-on experience I will gain from interesting projects in diverse domains, I yearn to broaden my current research area and pave a way towards interdisciplinary research in the future. Additionally, I am open to any scientific research area that will have an even better impact on our population.
Topical Areas
Artificial Intelligence and Intelligent Systems; Other Biological Sciences; Other Medical Sciences
Relevant Coursework
Programming w/ Biological Data Applications in Biotechnology I Introduction to Bioinformatics Computer Programming Foundations for Data Science Data Conscientiousness Introduction to Biostatistics Data Management Foundations for Data Science Methods for Biomedical Data Science Precision Medicine Informatics Population Health Informatics
Publications & Research Projects
Now, I have not published any research paper; however, I have conducted the following research in the past: Bainbridge-Ropers Syndrome (UAB) - collaborated with a team to find an alternative treatment to Bainbridge-Ropers Syndrome using the compound G418. Our results found that we were able to successfully replicate the effects of Ataluren (original compound used to treat Bainbridge-Ropers) using G418 and fully translate ASXL3/Bainbridge-Ropers from the mutated form. Pharm Alchemy (UAB) - played a vital role in cleaning drug-to-gene and drug-to-drug interaction data in an application called Pharm Alchemy. Applications such as Python and Oracle Apex were used for cleaning and uploading data into one central hub. This application was presented at a symposium where it was seen as beneficial yet quite redundant for present researchers.