Nicholas Brown

Associate Teaching Professor,  Multidisciplinary Graduate Engineering Programs

Contact

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

  • 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.

Spotlight Story

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.

Faculty

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.

two students posing

Students

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 of whom are applying to be his TA, or looking for revisions or hoping he will forward it to an employer. But most of these […]

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