Alex Baumann

Alex Baumann

Engineering Manager, Solutions Engineering, Data Sciences And Data Engineering @ Broad

About Alex Baumann

Alex Baumann is an Engineering Manager at the Broad Institute, specializing in Solutions Engineering, Data Sciences, and Data Engineering. With a Ph.D. in Computer Science from the University of Massachusetts Lowell, he has extensive experience in software development and communication across teams.

Current Role at Broad Institute

Alex Baumann serves as the Engineering Manager for Solutions Engineering, Data Sciences, and Data Engineering at the Broad Institute. He has held this position since 2015. In this role, he oversees engineering initiatives and collaborates with various teams to enhance data science capabilities. His responsibilities include managing projects that involve data analysis and engineering solutions, ensuring effective communication across different groups.

Previous Experience at Knome Inc

Before joining the Broad Institute, Alex Baumann worked at Knome Inc as a Software Developer Lead from 2011 to 2015. During his four years at Knome, he contributed to software development projects and led teams in implementing innovative solutions. His experience at Knome provided him with a strong foundation in software engineering practices.

Education and Expertise

Alex Baumann studied Computer Science at the University of Massachusetts Lowell, where he achieved a Doctor of Philosophy (Ph.D.) from 2000 to 2011. His academic background equips him with a deep understanding of computer science principles. He possesses skills in agile and waterfall software development methodologies, as well as expertise in designing user interfaces that prioritize human perception and interactions.

Skills in Data Sciences and Communication

Alex Baumann is skilled in demoing and presentations, particularly within the context of data sciences. He has experience in bridging communication across multiple groups and individuals, which enhances collaboration and project outcomes. His strong background in parallel computing and big data analysis further supports his work in data-driven environments.

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