Milo Lin @MiloLinLab
Trying to find simple principles within biological complexity Joined August 2021-
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Cool to see our deep distilling paper featured on the cover!
This position is subject to our new postdoctoral pay plan, which starts at 70K with incentives for mentored teaching and fellowships: shorturl.at/LQX47
Our new work on (1) mapping genetic interactions in E. coli with titratable CRISPRi and then (2) using these data to build predictive gene expression -> growth rate models is out now in Cell Systems! doi.org/10.1016/j.cels… Congrats to @CmbUtsw student and lead author Ryan Otto!
Can the intrinsic physics of multicomponent systems show neural network like computation? Out now: nature.com/articles/s4158… Led by Constantine Evans w/ Jackson O'Brien, Erik Winfree. U Chicago summary: news.uchicago.edu/story/uchicago…
Our deep distilling paper is out! It shows how far we can get training neural networks using modular symbolic reasoning, providing an alternative path to global loss minimization. It was such a fun and inspiring process working with @PaulJBlazek and @kvenkatesh75!
Our deep distilling paper is out! It shows how far we can get training neural networks using modular symbolic reasoning, providing an alternative path to global loss minimization. It was such a fun and inspiring process working with @PaulJBlazek and @kvenkatesh75!
New paper out on using non-equilibrium circuit theory developed in our lab to show how the maximum efficiency of molecular machines depends on the chemical energy gradients inside cells: royalsocietypublishing.org/doi/full/10.10…
Very excited to announce the launch of our new Biosynthetic Pathway Design Collaborative! My lab will be teaming up with @s_h_saunders, @MiloLinLab and @infphilo to build computational and experimental tools for biosynthesis 365utsouthwestern.sharepoint.com/sites/Biosynth… @LHBioinf_UTSW
We're hiring - looking for a new postdoctoral fellow to join our collaborative efforts in synth biology! This postdoc with work with mself, @s_h_saunders, @infphilo and @MiloLinLab to advance new ideas in the computational design and experimental construction of biosynth systems.
We're hiring - looking for a new postdoctoral fellow to join our collaborative efforts in synth biology! This postdoc with work with mself, @s_h_saunders, @infphilo and @MiloLinLab to advance new ideas in the computational design and experimental construction of biosynth systems.
Where do #gasvesicles live in a mammalian cell? The cytoplasm, as we can see w/bioorthogonal labeling w/FlAsH! Congrats to Erik Schrunk, co-sr auth @di_wu_ & co on a fractional labeling method that may also be useful for other protein nanostructures. biorxiv.org/content/10.110…
Come join us! We have two postdoc openings: one in biosynth pathway design/optimization, and another to examine how E. coli responds to transient perturbations in essential gene abundance. For details: utsouthwestern.edu/research/postd… Please RT 🙏!
It was long suspected that protein aggregates generically favor an ordered structure (e.g. amyloid) rather than a disordered amorphous phase. Our new work showing why this should be true regardless of sequence: onlinelibrary.wiley.com/doi/10.1002/pr…
Congratulations to lab member and @CmbUtsw student Ryan Otto on BEST TALK at the @LHBioinf_UTSW and @UTSWcomps retreat on Friday!
Congrats Greg!
It is #mitoawarenessweek! Learn how researchers in the @MishraLab are mapping out how our mitochondria are embedded into normal cellular function to understand how mitochondrial diseases occur. Their work could lead to new clinical tools and therapeutic options. #mitoawareness
Working on prediction, annotation, evolution or design of protein function? Incorporating computational function prediction into your experimental workflows? Submit an abstract to ISMB - Function! iscb.org/ismb2022-submi… In Madison, WI this July #ISMB2022 @iscb @iddux
Congrats Kim!
Postdoc positions of #ComputationalNeuroscience at UT Southwestern aiming to understand the computational principle of #neuralcircuits. Strong quantitative background is preferred. Please circulate. @LHBioinf_UTSW @UTSWBrain
In this @TDataScience article I discuss the mostly ignored question of why deep learning is a black box in the first place. The only way out is to completely change how deep neural networks are trained, such as essence neural networks and other non-gradient trained networks.
In this @TDataScience article I discuss the mostly ignored question of why deep learning is a black box in the first place. The only way out is to completely change how deep neural networks are trained, such as essence neural networks and other non-gradient trained networks.
Computational Scientist jobs.utsouthwestern.edu/job/15127598/c… Computational Biologist I jobs.utsouthwestern.edu/job/15127599/c…
Vishwanath Sivalingam @vishwanath_siva
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2 Followers 192 FollowingArvind Murugan @murugan_chicago
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30 Followers 306 Following Besides finding meaning in my work, I need to know that I am helping and connecting with people. Craving creativity, using insight to connect events and situatiPatrick Nicodemus @PatNicodemus
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829 Followers 184 Following Solid state DNP NMR spectroscopists interested in the structures of intrinsically disordered and aggregation-prone proteins inside cells. (she/her)Kim Reynolds @kimreynolds_lab
655 Followers 302 Following Asst prof in Systems Biology and Biophysics, UTSW, Dallas. Not the gov of Iowa. Interested in gene-phenotype relationships, protein engineering and synth bio.📢Our February issue is now live! Highlights include a method for automated algorithm discovery, a Comment on the opportunities in organic redox flow battery research, and a Perspective on computational drug development. 👉nature.com/natcomputsci/v…
Our lab's first preprint introduces #navigate, a game-changer in #smart #microscopy. Easy to install & use, featuring adaptive optics, a plugin architecture, & next-gen file format support. Ready for diverse light-sheet microscopes such as #ASLM, #OPM, #FieldSynthesis, and more.
The first pre-print from my postdoc is up: biorxiv.org/content/10.110…. navigate is a new acquisition software for light-sheet that focuses on smart acquisition with zero coding. This was a huge team effort with Xiaoding Wang and many others (listed below), lead by @kD3AN. 1/
This is pretty cool! Discovering the code for Conway's game of life by training a symbolic neural net on videos and "distilling" the resulting net into simple code.
Our deep distilling paper is out! It shows how far we can get training neural networks using modular symbolic reasoning, providing an alternative path to global loss minimization. It was such a fun and inspiring process working with @PaulJBlazek and @kvenkatesh75!
Can the intrinsic physics of multicomponent systems show neural network like computation? Out now: nature.com/articles/s4158… Led by Constantine Evans w/ Jackson O'Brien, Erik Winfree. U Chicago summary: news.uchicago.edu/story/uchicago…
Proud to share our recently published work from @kimreynolds_lab! Ever wanted to quantify epistatic relationships between genes? Here’s our proposed model in E. Coli! A continuous epistasis model: Cell Systems cell.com/cell-systems/f… #UTSW #genetics #systemsbiology #mstp
Thanks to @utswpda #postdoc and #HannaGrayFellow, @gabrielgihana, for sharing his advice for future applicants.
Hanna Gray Fellow & @UTSWNews postdoc Gabriel Muhire Gihana studies how cell morphology regulates the molecular signaling of oncogenic RAS. His advice for those considering the #HannaGrayFellows Program? "You'll never get it if you don't apply." hhmi.news/47UYPb0
The EU #AIAct moves closer to becoming the first legislation of its kind, setting a global standard for #AIRegulation.🇪🇺📜 #ArtificialIntelligence #TechPolicy #AIEthics #SwissCognitive ow.ly/57bt50QAJWr
Deep distilling paper is out: rdcu.be/dy2Go! Mechanistic interpretability of deep learning with ENNs lets us losslessly compress model parameters to computer code. This discovers better-than-human algorithms that generalize out-of-distribution, a new path for AI. (1/9)
📢@PaulJBlazek and @MiloLinLab (@LHBioinf_UTSW) introduce an approach for automated algorithm discovery from data. The uncovered algorithms perform as well as or outperform human-designed algorithms in the discussed use cases. nature.com/articles/s4358… 👉rdcu.be/dy2Go
9/9. ENNs integrate symbolic reasoning directly into the parameters of neural networks, and with deep distilling we can now see how their interpretability, generalization and robustness provide the most promising and exciting path toward AGI.
📢@PaulJBlazek and @MiloLinLab (@LHBioinf_UTSW) introduce an approach for automated algorithm discovery from data. The uncovered algorithms perform as well as or outperform human-designed algorithms in the discussed use cases. nature.com/articles/s4358… 👉rdcu.be/dy2Go
An accompanying News & Views by @josephbakarji is also available! nature.com/articles/s4358… 👉rdcu.be/dy2GQ
We're hiring - looking for a new postdoctoral fellow to join our collaborative efforts in synth biology! This postdoc with work with mself, @s_h_saunders, @infphilo and @MiloLinLab to advance new ideas in the computational design and experimental construction of biosynth systems.
We've launched a #TeamScience initiative and are #hiring a #PostDoc! Project details: shorturl.at/kOV06 APPLY: shorturl.at/aprKZ #MicrobialSystemsBiology #COmputationalBiology #QuantitativeBiology #Bioinformatics @kimreynolds_lab @s_h_saunders @infphilo @MiloLinLab
We're so proud of our Instructor & Clinician Dr. @BenjaminNanes as he embarks on his Faculty career with @UTSWDerm & as a secondary with the Green Center for #SystemsBiology @LHBioinf_UTSW! Congratulations! 🤩🎊🎉
The Nanes Lab is opening this Fall at @UTSWDerm and the Green Center for Systems Biology @LHBioinf_UTSW. We’re recruiting! Be on the lookout for official job postings soon. lab.nanes.org
I think we can all agree on this - plasmid sequences should be available for every publication. Whole genome seqs for each bacterial strain is probably a publication requirement on the horizon...will be interesting to watch that transition happen. 🦠
Why are we still publishing complicated descriptions of #DNA constructs when they can be fully sequenced? @thuronyi @erika_alden_d & @barricklab suggest that outdated #methods narratives should be replaced with DNA #sequence files in publications. plos.io/47Ahg4Z
Come join us! We have two postdoc openings: one in biosynth pathway design/optimization, and another to examine how E. coli responds to transient perturbations in essential gene abundance. For details: utsouthwestern.edu/research/postd… Please RT 🙏!
Where do #gasvesicles live in a mammalian cell? The cytoplasm, as we can see w/bioorthogonal labeling w/FlAsH! Congrats to Erik Schrunk, co-sr auth @di_wu_ & co on a fractional labeling method that may also be useful for other protein nanostructures. biorxiv.org/content/10.110…
So proud of this new work that hit the arXiv last week:
Maximum entropy methods map neural measurements to statistical physics models. But as experiments grow to thousands neurons, which observables are important? The answer lies in the "minimax entropy" principle, which we solve exactly in a special case 👇 arxiv.org/abs/2310.10860
Genetic interaction (epistasis) measurements have long been used to work out pathway architecture and map cell organization. But how to go from these to a predictive model for cell growth? Our idea: doi.org/10.1101/2022.0…
It’s Halloween in the Reynolds lab! Love these costumes from @JamesWMcCormick and @cingle23
Congratulations to lab member and @CmbUtsw student Ryan Otto on BEST TALK at the @LHBioinf_UTSW and @UTSWcomps retreat on Friday!