Thomas Heinis

Thomas Heinis is a Professor in Computing at Imperial College London, where he leads the SCALE Lab and conducts pioneering research in DNA data storage. He holds a Ph.D. and M.Sc. in Computer Science from ETH Zürich and was a Postdoctoral fellow at EPFL. Awarded a Fulbright scholarship in 2004 to visit Purdue University, his research focuses on overcoming big data challenges through novel algorithms and storage technologies.

His research addresses four major directions: large-scale scientific/spatial data management, high-performance data analytics, data processing on novel hardware, and DNA storage technology. He develops solutions for massive datasets inspired by real-world applications in neuroscience and other scientific domains. Key projects include OligoArchive (DNA-based database storage) and spatial indexing algorithms (FLAT, SCOUT, TOUCH) developed with the Blue Brain Project.

Honors include:

• Fulbright Scholarship (2004)
• SystemsX Interdisciplinary Ph.D. Fellowship (2007)
• Finalist, Venture Leaders Entrepreneurship Competition (2007)
• Finalist, Purdue Burton D. Morgan Entrepreneurship Competition (2003)

He teaches database and large-scale data management courses at undergraduate and graduate levels. Actively involved in academic service, he serves on program committees for top conferences (VLDB, SIGMOD, ICDE) and reviews for journals including TODS. He leads the SCALE Lab, recruiting PhD students for research in scientific data management, spatial indexing, and novel storage technologies.