Nicholas Brown
Associate Teaching Professor,
Multidisciplinary Graduate Engineering Programs
Contact
- ni.brown@northeastern.edu
- 505A Dana
360 Huntington Ave
Boston, MA 02115
Office
- 617.373.5621
About
Nik Bear Brown is an Engineering Associate Teaching Professor at Northeastern University, where he teaches deep learning and machine learning. With a PhD in computer science from UCLA, he has extensive experience teaching courses in computer science, statistics, applied mathematics, programming, 3D visual effects, web programming, server administration, networking, and game programming at various universities and colleges.
Nik’s major field of study was computational and systems biology, and his minor fields were artificial intelligence and statistics. He is a founding partner of NEU AI Skunkworks, a Masters student research group, and SquarkAI, an online automated modeling service. Nik is also an advisor to a few AI startups and currently pursuing a degree in Information Design and Visualization at Northeastern University. He loves teaching, data science, computational biology, visualization, and games and is always looking to make new connections.
Honors & Awards
- 2025 Dean’s Award for Meritorious Service
- 2022 Fostering Engineering Innovation in Education Award
Selected Publications
- Biancalani, Tommaso & Scalia, Gabriele & Buffoni, Lorenzo & Avasthi, Raghav & Lu, Ziqing & Sanger, Aman & Tokcan, Neriman & Vanderburg, Charles & Segerstolpe, Åsa & Zhang, Meng & Avraham-Davidi, Inbal & Vickovic, Sanja & Nitzan, Mor & Ma, Sai & Subramanian, Ayshwarya & Lipinski, Michal & Buenrostro, Jason & Brown, Nik & Fanelli, Duccio & Regev, Aviv. (2021). Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram. Nature Methods. 18. 1-11. 10.1038/s41592-021-01264-7.
- Lu, Ziqing & Buffoni, Lorenzo & Sanger, Aman & Tokcan, Neriman & Rood, Jennifer & Fanelli, Duccio & Brown, Nik & Vanderburg, Charles & Biancalani, Tommaso & Macosko, Evan & Regev, Aviv. (2020). Using Deep Learning to Transfer Atlas Annotations in Mouse Brain Data.
- Biancalani, Tommaso & Scalia, Gabriele & Buffoni, Lorenzo & Avasthi, Raghav & Lu, Ziqing & Sanger, Aman & Tokcan, Neriman & Vanderburg, Charles & Segerstolpe, Asa & Zhang, Meng & Avraham-Davidi, Inbal & Vickovic, Sanja & Nitzan, Mor & Ma, Sai & Buenrostro, Jason & Brown, Nik & Fanelli, Duccio & Zhuang, Xiaowei & Macosko, Evan & Regev, Aviv. (2020). Deep learning and alignment of spatially-resolved whole transcriptomes of single cells in the mouse brain with Tangram. 10.1101/2020.08.29.272831.
Jan 30, 2025
Faculty and Staff Awards 2025
Faculty and staff were recognized at the 27th Annual College of Engineering Faculty and Staff Awards for their exceptional service and dedication in support of students, the COE community, and the university during the 2024-2025 academic year.
May 24, 2023
Empowering Healthcare Through Technology and Education
Shreya Jaiswal finished her undergraduate work in electronics and communication engineering in 2020, and she was fortunate to land a job with Accenture as a data engineer. With an interest to turn information volume into accuracy, she pursued the MS in information systems program.
Apr 15, 2022
Faculty and Staff Awards 2022
Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2021-2022 academic school year.
Oct 04, 2019
The Skunkworks Challenge
Prabhu Subramanian (left) and Ziwei Wing Fan (right). Both students have managed the Skunkworks program with Professor Brown. Professor Nik Brown receives hundreds of resumes from students each semester, many […]