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Saket Navlakha

Saket Navlakha

Associate Professor

Ph.D., University of Maryland College Park, 2011

[email protected] | 516-367-5540

 

Biological systems must solve problems to survive, and their solutions can be viewed as “algorithms.” Our goal is to uncover these algorithms, translate them to improve computer science, and use them to spark new hypotheses about biological function and dysfunction.

Saket Navlakha鈥檚 lab studies 鈥渁lgorithms in nature,鈥 i.e., how collections of molecules, cells, and organisms process information and solve interesting computational problems critical for survival. Indeed, there are many shared goals and constraints faced by biological and engineered systems, including: (1) the use of distributed networks as a backbone for information processing and communication; (2) trade-颅offs between optimization criteria, including efficiency, robustness, and adaptability; and (3) the need to develop low颅-cost, scalable solutions that conserve important metabolic or physical resources. An algorithmic perspective on biological problem-solving can lead to two ends: (1) new biological algorithms that are simple, flexible, and robust for use in computer science applications, and (2) quantitative frameworks to predict behavior, raise testable hypotheses, and guide experiments. Our lab has most recently focused on studying neural circuit computation and plant architecture optimization from this perspective.

Simons Pivot Fellowship (2024)


Keynote speaker at NIPS (2016)

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All Publications

26 Sep 2025 | Journal of Mammary Gland Biology and Neoplasia | 30(1):13
Lewis, Steven;  Tellez-Perez, Lucia;  Henry, Samantha;  Zheng, Xingyu;  Navlakha, Saket;  Dos Santos, Camila;  

26 Jul 2025 | bioRxiv
Faizi, Kian;  Mehta, Preyanka;  Maida, Amy;  Humphreys, Taylor;  Berrigan, Elizabeth;  Reid, Leo;  McCorkell, Robbie;  Tagade, Arush;  Rumbelow, Jessica;  Showalter, Julia;  Brent, Lukas;  Coroenne, Clementine;  Rigaud, Audrey;  Chandrasekhar, Arjun;  Navlakha, Saket;  Martin, Antoine;  Pradal, Christophe;  Lee, Sanghwa;  Busch, Wolfgang;  Platre, Matthieu;  

23 Jul 2025 | Cell Systems | :101345
Banerjee, Amitava;  Pattinson, David;  Wincek, Cornelia;  Bunk, Paul;  Axhemi, Armend;  Chapin, Sarah;  Navlakha, Saket;  Meyer, Hannah;  

18 Feb 2025 | bioRxiv
Shen, Yang;  Banerjee, Arkarup;  Albeanu, Dinu;  Navlakha, Saket;  

10 Sep 2024 | Proceedings of the National Academy of Sciences of the United States of America | 121(37):e2321032121
Dasgupta, Sanjoy;  Meirovitch, Yaron;  Zheng, Xingyu;  Bush, Inle;  Lichtman, Jeff;  Navlakha, Saket;  

26 Aug 2024 | Journal of Neuroscience | :e0116242024
Pirhayati, Delaram;  Smith, Cameron;  Kroeger, Ryan;  Navlakha, Saket;  Pfaffinger, Paul;  Reimer, Jacob;  Arenkiel, Benjamin;  Patel, Ankit;  Moss, Elizabeth;  

25 Jan 2024 | bioRxiv
Banerjee, Amitava;  Pattinson, David;  Wincek, Cornelia;  Bunk, Paul;  Chapin, Sarah;  Navlakha, Saket;  Meyer, Hannah;  

Oct 2023 | PLoS Biology | 21(10):e3002206
Srinivasan, Shyam;  Daste, Simon;  Modi, Mehrab;  Turner, Glenn;  Fleischmann, Alexander;  Navlakha, Saket;  Benton, Richard;  

19 Sep 2023 | Neural Computation | :1-23
Shen, Yang;  Dasgupta, Sanjoy;  Navlakha, Saket;  

10 Oct 2022 | Nature Communications | 13(1):5961
Dasgupta, Sanjoy;  Hattori, Daisuke;  Navlakha, Saket;