Congratulations to Prof. Elise Morgan, who will be the Interim Dean of the College of Engineering! She will be the first woman to lead the College of Engineering in it's 50+ year history! #BostonUniversity #WomenInSTEM

This is the lineup for the Synthetic Microbiology Panel at the 2023 BBM! We've assembled an incredible group of experts thanks @iremozkani. Join us to hear from brilliant scientists like @DunlopLab, @dsegre, and @rebecca_sherbo. Don't miss out! #syntheticmicrobiology #BBM2023

Is phenotypic variation functional? Stoked about our latest preprint spearheaded by the amazing Anne-Stephanie @DMF_UNIL @unil in collaboration with a fantastic team of people @vrrenske @suryad26 @santosmoreno_j @LalouxLab @YSchaerli @WeiserLabNYU

I am super excited to share our latest work published in @nchembio This is a story about synthetic microbial communities that helps us understand microbial interactions and construct better biofactories! #synbio #meteng Full paper: https://t.co/XKtcBTSBDK Summary below 👇🏼

Registration for BBM2023 is now open! 🧪Abstracts submissions are due April 30th 🧫Online registration ends on May 31st You can register here: https://t.co/BBjvVKeWPf

In our work on engineered living materials, a question we ask ourselves is ‘How can we use synthetic biology to make materials more sustainable?’ In our new preprint, Marcus Walker @Marcus_waal answers this with ‘Bacterial Black Sheep’. How? Read on… 🧵⬇️ https://t.co/yyXciGsoS4

1/ Very excited to share my first PhD paper out in cell reports!! We show that oxidative stress response heterogeneity in E. coli arises from short range cell-cell interactions. https://t.co/K8BjldpJ0J

Our latest paper is out! Light-inducible expression of antibiotic resistance genes. Led by @biotaxis, with help from @NathanTague2. Constructs are on @Addgene if you want to try them out.

❗ Nominations are open until Feb. 19 for the 2023 ACS Synthetic Biology Young Innovator Award! The award honors a young scientist who has made a major impact on synthetic biology or related fields. Learn more and submit your nomination: https://t.co/7QyTYrCfxH

Excited to share our new study on mapping single-cell and population-level responses of bacterial responses to antibiotics. Congratulations to Kyeri Kim, who led the study, and all the coauthors (@Emrah__Simsek @helena_r_ma, @Armavica, and others). (1/n)

Interested in ‘data-centric’ bioengineering? The EBRC-SPA is hosting an industry panel discussion with professionals who operate and lead in this space! Join us virtually on December 6th, 2022 (2-3pm ET | 11-12pm PT) on GatherTown by registering here: https://t.co/U74HcZB4h4

Sebas' PhD paper on automated turbidostats and optogenetics, secretion sweetspots and secretory burnout state, and on cybergenetics has just been posted on bioRxiv! https://t.co/pX7uITwVwx #labautomation, #optogenetics, #bioproduction, #synbio, #cybergenetics

Want to be more successful in #biotech? EBRC is now accepting grad student applications for our Summer 2023 Internship Program! Opportunities include Aclid Inc, NIST Cellular Engineering Group and @LanzaTech. Learn more and apply at

Finally, our manuscript is available on bioRxiv: https://t.co/3Luh2z0wrV And our code is on GitLab: https://t.co/N4HLRk96Mb https://t.co/EWeY1nhTIg 9/9

We plan to use this platform to investigate the impact of gene expression dynamics on antibiotic resistance and to extend it for other synthetic biology applications. More generally, we are excited to see how AI can improve our ability to interface between cells and computers. 8/

Our new feedback platform enables us to set precise expression levels for the resistance gene in 6,000+ cells and to quantify how these levels impact cell growth and survival dynamics, without having to rely on natural fluctuations in gene expression. 7/

My lab has been interested in how gene expression in single cells impacts antibiotic resistance and tolerance. But it is often hard to detect and capture relevant dynamics amidst a sea of single-cell behaviors and expression noise. 6/ https://t.co/495bwpayFP

But the reason we are particularly excited about this technology is that it can be used to precisely control expression dynamics of other genes. As an example, we use it here to control a gene responsible for tetracycline antibiotic resistance. 5/

We are of course not limited to sinewaves. We illustrate this by reproducing an iconic scene from 2001: A Space Odyssey. I believe we now hold the title for most ridiculously convoluted way to display a movie. @seth_shipman 4/

We use deep model predictive control to decide whether to apply red or green light to each cell. An encoder-decoder neural network predicts the cell's response and we use this to select the optimal light signals. This strategy is re-evaluated every 5 mins in a feedback loop. 3/