Max Fleming
About Max Fleming
Max Fleming is a Computer Science Instructor with a background in Computer Science and Computer Engineering from The Johns Hopkins University. He specializes in machine learning applications for DNA data analysis and has contributed to various research projects in bioinformatics.
Work at Juni
Max Fleming has been employed at Juni Learning as a Computer Science Instructor since 2018. In this role, he teaches computer science concepts and programming skills to students. His experience spans six years, during which he has contributed to the educational development of learners in San Francisco, California.
Education and Expertise
Max Fleming studied at The Johns Hopkins University, where he earned a Bachelor of Science degree in Computer Science and Computer Engineering from 2017 to 2021. His academic background provides a strong foundation in computer science principles and practices, equipping him with the skills necessary for his current roles.
Background
Max Fleming has a diverse background in bioinformatics and high-performance computing. He worked as a Bioinformatics Research Assistant at Johns Hopkins University since 2019, contributing to research projects in Baltimore, Maryland. Additionally, he gained international experience as a High Performance Computing Research Assistant at Universidad Carlos III de Madrid for two months in 2019.
Achievements in Research and Development
Max Fleming is involved in several research initiatives, including the development of a machine learning model aimed at classifying species and analyzing unsequenced DNA reads. He has enabled researchers to generate comparative graphs for DNA reads against reference genomes, improving data quality assessment. Furthermore, he contributed to the Bowtie2 UI project by adding a Visualization tab for DNA data analysis.
Internship Experience
During a summer internship in Madrid, Max Fleming developed a multi-node simulation utilizing Apache Spark and MPI. This experience enhanced his practical skills in high-performance computing and provided him with valuable insights into complex data processing techniques.