Max Fleming
About Max Fleming
Max Fleming is a Computer Science Instructor at Juni Learning and a Bioinformatics Research Assistant at Johns Hopkins University, specializing in DNA data analysis and machine learning. He holds a Bachelor of Science in Computer Science and Computer Engineering from The Johns Hopkins University and has contributed to various research projects in bioinformatics and high-performance computing.
Work at Juni Learning
Max Fleming has served as a Computer Science Instructor at Juni Learning since 2018. In this role, he teaches computer science concepts and programming skills to students, fostering their understanding of technology. His experience spans over six years, during which he has contributed to the development of educational programs that engage students in practical applications of computer science.
Education and Expertise
Max Fleming studied at The Johns Hopkins University, where he earned a Bachelor of Science in Computer Science and Computer Engineering from 2017 to 2021. His education provided a strong foundation in computer science principles, which he applies in both his teaching and research roles. He has developed expertise in bioinformatics and machine learning, focusing on data analysis and visualization.
Background in Bioinformatics Research
Max Fleming has worked as a Bioinformatics Research Assistant at Johns Hopkins University since 2019. In this position, he has been involved in projects that enhance data quality evaluation, including enabling researchers to create graphs for comparing unsequenced DNA reads to reference genomes. His work contributes to advancements in bioinformatics and data analysis.
Contributions to DNA Data Analysis
In his role as a Bioinformatics Research Assistant, Max Fleming contributed to the Bowtie2 UI project by creating a Visualization tab for DNA data analysis. This project aims to improve the usability of bioinformatics tools, facilitating better data interpretation for researchers. Additionally, he is currently working on a machine learning model to classify species and assay unsequenced DNA reads.
Previous Experience in High Performance Computing
Max Fleming briefly worked as a High Performance Computing Research Assistant at Universidad Carlos III de Madrid in 2019. During this two-month internship, he developed a multi-node simulation using Apache Spark and MPI. This experience enhanced his skills in high-performance computing and data processing.