
Ashty Karim
@akarimlab
Chemical Engineer | Synthetic Biologist | Assist. Professor | moved to LinkedIn linkedin.com/in/ashtykarim/
ID: 60697819
http://akarimlab.org 27-07-2009 20:16:58
299 Tweet
434 Followers
216 Following

How are we going to funnel excess carbon toward sustainable products? We’ve engineered a synthetic carbon assimilation pathway (ReForm) as a bio module coupled with electro/chem methods to upgrade several C1 substrates. Work with Michael C. Jewett on BioRxiv biorxiv.org/content/10.110…

I'm excited to share our Nature Methods primer on language models for biological research. Elana Simon, James Zou, and I explain how to use language models, both natural language models and biological language models, to accelerate biological research. nature.com/articles/s4159…

And the move into the new lab space is complete! Said goodbye to the Texas office (a decade of early scientist memories) 🥹…huge shoutout to Michael C. Jewett —advisor turned friend and colleague—(and his group) who was there to help me move in 🤩 now time to get to work📚🧫🥼


Come be a fellow at NSF-Simons NITMB if you are interested in math, theory, or bio (or any combination)! Great opportunity for independent research + supportive community + mentorship + pot. collaborations with folks across Northwestern The University of Chicago! nitmb.org/research/nitmb…


Join us MIT Dept of BE! We are searching for a tenure-track faculty colleague at the interface of #immunology and #biologicalengineering. Happy to answer questions about the BE department and junior faculty life at MIT (both great). Please share widely! be.mit.edu/about/open-fac…


Want to learn the newest innovations in #cellfree systems? Mark your calendar for the next Cell-Free Systems meeting to be held in Evanston Northwestern next summer on August 20-22, 2025 with co-chairs Kamat Lab Northwestern CSB Michael Köpke 🏭💨+🧬🦠=♻️⛽🧴🧵 LanzaTech Global More info to come...

💨 LanzaTech Global moves into the food arena with LanzaTech Nutritional Protein (LNP) set to reach commercial-scale production in 2028 '‘We ferment gases instead of sugars." $LNZA



Can wastewater bacteria provide solutions to the plastics problem? Just out today new Aristilde Lab @ Northwestern Engineering study unraveling how #wastewater Comamonas #bacteria break down PET #plastics into #nanoplastics and ultimately digestible #carbons. pubs.acs.org/doi/10.1021/ac…


Awesome day celebrating each other and our progress as a Center! Northwestern CSB with a fantastic keynote from @delafuenteupenn on next-generation antimicrobials from ancient ancestral proteomes!

Preprint alert! Figuring out how to make 100s of cell-free biosensors on an Opentrons OT-2 robot. With Michael C. Jewett Ashty Karim and a whole lot of other folks! On bioRxiv now: biorxiv.org/content/10.110…

Looking for talent to head the research arm of Northwestern CSB ! If you are interested in shaping synthetic biology and you value creativity, impact, and great people, this is the opportunity for you. This is a fantastic job (I speak from experience!). Apply below!

🎉 Congratulations to Michael C. Jewett for receiving the 2024 AIChE Food, Pharmaceutical, and Bioengineering Division Award at #AIChEAnnual American Institute of Chemical Engineers (AIChE)! 🏆 This award honors outstanding contributions in chemical engineering within food, pharmaceuticals, and bioengineering.

What is needed to accelerate enzyme engineering using machine learning? #Data We develop a ML-guided platform that integrates DNA assembly, gene expression, and functional assays. ML models predict improved variants. Ashty Karim Northwestern CSB Nature Communications nature.com/articles/s4146…

Engineered enzymes can advance green chemistry. Unfortunately, engineering enzymes remains hard. In Nature Communications, we showed that AI-guided design coupled to cell-free systems can predict mutants as well as lab experiments. Ashty Karim engineering.stanford.edu/news/hunt-new-…

An ML-guided, cell-free enzyme engineering platform for optimizing substrate preference. Ashty Karim Michael C. Jewett


Accelerated enzyme engineering by machine-learning guided cell-free expression Nature Communications 1. This study presents a novel machine-learning (ML)-guided platform for enzyme engineering, integrating cell-free DNA assembly, expression, and functional assays. It significantly

