Owen Ouyang

Biochemistry PhD student @UofIllinois
eLife community ambassador @eLifeCommunity

[Owen Ouyang @WenhaoO]

Once again, I’m incredibly grateful for the unwavering support of my advisor, @wchnicholas, and the invaluable contributions of all my co-authors. Thank you for helping bring this idea to life!

[Owen Ouyang @WenhaoO]

Excited to share that the oPool⁺ display is on the cover of this week's @ScienceTM! We hope that the future use of this platform can accelerate antibody characterization, benefit therapeutic & vaccine development, and facilitate iterative refinements of antibody AI models.

[Science Translational Medicine @ScienceTM]

Don't miss the new issue of #ScienceTranslationalMedicine!

A clinical study in Nepal shows that waning immunity to Japanese encephalitis virus can worse the severity of dengue, a new platform leapfrogs laborious obstacles in antibody discovery, and more. https://t.co/XvrMN3JU0s

[Owen Ouyang @WenhaoO]

With the help of Cursor Agent/Claude Sonnet 4, we created a locally run user interface for our design pipeline that enables the quick and simple design of oligo pool-based native pairing antibody libraries. Have fun screening, it's a pool partyyy! :) https://t.co/AmtKANghmA

[Owen Ouyang @WenhaoO]

Reaching out to senior scientists can feel daunting, but it’s often less intimidating—and more rewarding—than you’d expect.

In this @ecrLife article, I share my experience as an early-career researcher and encourage others to take that step too.
https://t.co/u8YMIc6gy8

[eLife Community @eLifeCommunity]

"Only diamonds are made under pressure; good scientists are made with love and support."
https://t.co/F77h4I6XYR

[Owen Ouyang @WenhaoO]

I’m grateful for the unwavering support from my advisor @wchnicholas and everyone from the Wu Lab. It has been an amazing journey so far, and I’m excited for more to come! We envision a near future where antibody binding characterization is fast, simple, and cost-effective. (14/)

[Owen Ouyang @WenhaoO]

In this latest version of the preprint, we are excited to (re)introduce oPool+ display, a high-throughput cell-free platform that enables rapid synthesis and specificity characterization of natively paired antibodies at an unprecedented scale (1/): https://t.co/rCc14yWGld

[Owen Ouyang @WenhaoO]

oPool+ display also holds promise for promoting future synergy between machine learning models and experimental systems by enabling rapid validation of prediction results at scale. We believe it represents a starting point for the future of high-throughput antibody biology. (13/)

[Owen Ouyang @WenhaoO]

@_y1zhou Thanks for following our work, Yi! The "native pairs with mutations" category contained only scFvs with correct heavy-light pairing and point mutations which we believe were introduced due to oligo synthesis defects. Hope this helps!

[Owen Ouyang @WenhaoO]

I am excited to share our latest work, where we developed oPool+ display, a rapid and cost-approach to synthesize and screen natively paired antibodies in a highly parallel fashion (1/14): https://t.co/giv1IUD91v