Tal Einav

According to our database, Tal Einav authored at least 5 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CAPYBARA: A generalizable framework for predicting serological measurements across human cohorts.

Sierra Orsinelli-Rivers, Daniel Beaglehole, Tal Einav

PLoS Comput. Biol., 2026

2025

Putting computational models of immunity to the test - An invited challenge to predict B.pertussis vaccination responses.

Pramod Shinde, Lisa Willemsen, Michael Anderson, Minori Aoki, Saonli Basu, Julie G. Burel, Peng Cheng, Souradipto Ghosh Dastidar, Aidan Dunleavy, Tal Einav, Jamie Forschmiedt, Slim Fourati, Javier Garcia, William Gibson, Jason A. Greenbaum, Leying Guan, Weikang Guan, Jeremy P. Gygi, Brendan Ha, Joe Hou, Jason Hsiao, Yunda Huang, Rick Jansen, Bhargob Kakoty, Zhiyu Kang, James J. Kobie, Mari Kojima, Anna Konstorum, Jiyeun Lee, Sloan A. Lewis, Aixin Li, Eric F. Lock, Jarjapu Mahita, Marcus Mendes, Hailong Meng, Aidan Neher, Somayeh Nili, Lars Rønn Olsen, Shelby Orfield, James A. Overton, Nidhi Pai, Cokie Parker, Brian Qian, Mikkel Rasmussen, Joaquin Reyna, Eve Richardson, Sandra Safo, Josey Sorenson, Aparna Srinivasan, Nicola Thrupp, Rashmi Tippalagama, Raphael Trevizani, Steffen Ventz, Jiuzhou Wang, Cheng-Chang Wu, Ferhat Ay, Barry Grant, Steven H. Kleinstein, Bjoern Peters

PLoS Comput. Biol., 2025

2023

Harnessing low dimensionality to visualize the antibody-virus landscape for influenza.

Tal Einav, Adrian Creanga, Sarah F. Andrews, Adrian B. McDermott, Masaru Kanekiyo

Nat. Comput. Sci., 2023

2022

Massively Increasing the number of Antibody-Virus Interactions across Studies.

Tal Einav, Rong Ma

CoRR, 2022

2020

When two are better than one: Modeling the mechanisms of antibody mixtures.

Tal Einav, Jesse D. Bloom

PLoS Comput. Biol., 2020