Sailahari Mullapudi is a student at Eastlake High School in the USA. She has a strong interest in medicine and scientific research.
Medical and Research Experience
Sailahari completed a CRISPR Foundations Certificate through the CRISPR Classroom. She also studied Python in a Coding in Medicine course.
Beyond her studies, Sailahari serves as Ambassador Co-chair for the LLS Seattle Student Leadership Committee. This committee is part of the Leukemia & Lymphoma Society’s Pacific Northwest Region. She also gained experience as a Junior Health Scholar at Swedish Medical Center.
Research on Machine Learning and Antimicrobial Resistance
Sailahari’s research paper, “A Machine Learning Approach in Predicting Antimicrobial Resistance (AMR) in Escherichia coli (E. coli),” was accepted at the MIT Undergraduate Research Technology Conference (MIT URTC 2023) in Massachusetts.
The paper explores how machine learning can help predict antimicrobial resistance in E. coli bacteria. This resistance can make infections harder to treat. Therefore, accurate predictions may help healthcare professionals make better-informed treatment decisions.
How the Research Works
Sailahari’s study uses whole genome sequencing (WGS) data to predict antimicrobial resistance. It examines four machine learning models and their ability to predict resistance to four antibiotics commonly used against E. coli infections.
The research aims to address limitations in traditional culture-based methods. Its results indicate high accuracy in predicting antimicrobial resistance. This approach may also help healthcare professionals identify effective antibiotics more quickly.
MIT students organised MIT URTC 2023 in collaboration with the IEEE. The conference features student research presentations and talks by industry experts. It also provides opportunities for networking and academic exchange.
Congratulations to Sailahari on this research achievement!
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