Bowen Jing

AI for drug discovery and protein design. PhD @ MIT

[Bowen Jing @bjing2016]

Big thanks to co-authors @mihirbafna14 , Anisha Parsan, @HeyuanMNi , David Kwabi-Addo, Bryan Bryson, Adam Klivans, and @lab_berger . We will be presenting at ICML 2026.

Wet lab results on the way!

Preprint: https://t.co/IVaYEDLEHI
Code: https://t.co/PEz66JTYCV
(7/7)

[Bowen Jing @bjing2016]

Binder design has come of age thanks to generative models—but how can we access the wider array of dynamic, multistate protein functions, so elegantly employed by nature?

@mihirbafna14 and I are excited to share SwitchCraft, a framework for designing such functions. (1/7)

[Bowen Jing @bjing2016]

Added bonus: our conceptual framework for specifying multistate functions is super easy to write down as a YAML spec. (6/7)