- Postdoc in Drug Design at Oxford Biochemistry (Biggin Lab).
- Ph.D. from the Shirts Group at CU Boulder.
- Keen on compchem, deep learning & education.
- Rookie runner.
- Originally from Taiwan.
- Check my MD tutorials: https://weitsehsu.com/
The Laboratoire de Chimie Théorique (LCT) is a joint
@sorbonne-universite.fr & @cnrs.fr Research Center (UMR 7616) dedicated to Theoretical & Computational Chemistry (Paris, France).
#compchem #compchemsky #chemsky
Images, AI, ML, and ALife.
Former: @hampshirecolg
@brandeisuniversity.bsky.social
@harvardmed.bsky.social
@uidaho.bsky.social
@hhmijanelia.bsky.social
@mdc-berlin.bsky.social
@ORNL.
Now @biohub.org.
Opinions are mine.
Scientist and medical doctor. Biology AI/ML methods, gene regulation, DNA sequence models, single cells. Doing a PhD in computational biology at @molgen.mpg.de.
Co-Founder and CTO Change Bio | PhD Engineering Biology Imperial College
PhD at EPFL | Biophysics and Machine Learning
UofArizona #Aggie > UofMaryland PhD > NIH/NCI PostDoc > Biodefense, Pathogen #Genomics, #Bioinformatics, Data Authenticity, #BioSecurity. ++PC gaming, DnD, EDM, punk, goth, backcountry backpacking, porsche
🎲♟️👾🎮 🎸 🧪 🧬 🖥 🦠🚀🏎️
he/him. On Steam: @bioinformer
PhD student within the Functional Genomics group (Franke lab), University Medical Centre Groningen. Interested in gene networks, sequence-based models and non-coding somatic mutations
PhD student @sangerinstitute
📎 Learning & Research: Deep Learning, (Protein) Language Models, Protein Design.
📎 Graduate Student at Drexel University.
📎 Becoming an avid reader.
Associate Professor @VUMC #Hypertension, #kidney, #immunology #HostMicrobiotaInteraction. Mother of 2, wife. Associate Editor @CircRes
Head of AI @cziscience | Achira.ai | probabilistic and deep ML
Achira is building atomistic foundation simulation models to power the future of drug discovery.
http://achira.ai
Creating enzymes by computational design and directed evolution.
Group Leader at MPI for Terrestrial Microbiology, Germany
https://www.mpi-marburg.mpg.de/home
#FascinatedByEnzymes
Statistical Genetics @insitro.bsky.social | PhD @emoryuniversity.bsky.social
Math Assoc. Prof. (on leave, Aix-Marseille, France)
Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0
Teaching Project (non-profit): https://highcolle.com/
Peptide computational chemist; Department Chair and Professor of Chemistry at Tufts
Biostatistician and machine learning scientist
Professor of Theoretical Chemistry @sorbonne-universite.fr & Director @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social | FRSC (My Views)
https://piquemalresearch.com | https://tinker-hp.org
Founder/CEO @ AINovo Biotech. Prev: AI + Genomics @ Stanford Computer Science, computational drug discovery @ ETH, Harvard. AI Optimist for Human Health.
physics of complex systems. biophys, biochem, biomol. florence / rome / paris.
AI/ML + Bio
Machine Learning Scientist @Insitro
Prev. PhD in Kampmann/Yala Labs @UCSF
Designed the first apps for Uber.com, Booking.com, Catawiki.com and many others.
Co-founder http://operator.exchange and http://cradle.bio
BRENDA is the comprehensive electronic information resource that comprises molecular and biochemical information on enzymes.
Visit:
https://www.brenda-enzymes.org/
https://hub.dsmz.de/#/
Group Leader at the Institute of Organic Chemistry and Biochemistry (IOCB Prague @iocbprague.bsky.social). Plant biochemistry, metabolomics, genomics, bioML, etc. https://www.pluskal-lab.org
Computational biochemist (he/him), PI of the http://vanderkampgroup.com. Likes #enzymes & #compchem, #diversity #inclusion
PhD student Uni of Cambridge | Enzyme engineering and design for sustainable biocat | Droplet microfluidics as a tool for mega-scale data collection
Asst. prof. @ Rice BioSciences. Building capabilities for computational design of protein-nucleic acid interactions. http://glasscocklab.blogs.rice.edu
Postdoctoral researcher at the Institute for Protein Design. My research focuses on computational methods for rational, de novo design of enzymes for new-to-nature reactions.
Protein Design, Membrane dynamics, nanopores, physics & AI.
PhD Student in the Baker Lab. I like to design enzymes.
#Biotech research project delivering novel tools to discover and improve #enzymes of industrial and consumer interest. Funded by #H2020 under GA101000560.
Asst. Prof. Uni Groningen 🇳🇱
Comp & Exp Biochemist, Protein Engineer, 'Would-be designer' (F. Arnold) | SynBio | HT Screens & Selections | Nucleic Acid Enzymes | Biocatalysis | Rstats & Datavis
https://www.fuerstlab.com
https://orcid.org/0000-0001-7720-9
Beyond Known Biology
basecamp-research.com
Protein designer at UW IPD; develop ligand-protein interface design methods; Natural product biochemist.
Biochemist, Protein Engineer
Postdoc in the lab of David Baker | University of Washington | Building new molecular motors | Schmidt Science Fellow 2024 | PhD with Cees Dekker @ TUD
🎓 Dual major in Computer Science & Biological Sciences @Seoul National University
🧬 Research intern @SteineggerLab https://github.com/steineggerlab
🚀 Developer of Metabuli App and TaxoView
Scientist and Group Leader of the Simons Machine Learning Center
@SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
Associate Professor of Bioengineering, Berkeley. Living in an RNA world. lareaulab.org
Prof of AI at QUT, Australia
Interest in Machine learning applied to health.
#selfsupervision #machinelearning #unsupervisedlearning #VAE #autoencoder
Research lab at Princeton University led by @adjiboussodieng.bsky.social. We work at the intersection of artificial intelligence (AI) and the natural sciences. Visit https://vertaix.princeton.edu to learn more. #AI4Science
Co-founder of briefly.bio · Making lab documentation feel good ·
Previously, researcher in adaptive immunity and protein evolution.
Director at ZS Associates and ex-PI of https://jensenlab.org. AI, network biology, omics, and text mining. 100+ videos on https://youtube.com/larsjuhljensen.
Machine Learning Scientist @ Imprint labs decoding the adaptive immune system, see http://giulioisac.github.io
Scientist, teacher, mentor, mom. Definitely not the gov of IA. Interested in systems biology, molecular evolution, bacterial genomes, protein engineering, and synth bio.
grad student at mit studying dynamics of (directed) evolution and protein biology with assistance from liquid handling robots.
PhD Candidate @ Berkeley MCB
Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
Group leader at the Josep Carreras Leukemia Research Institute. Passionate of single-cell genomics and ML! Advancing personalized therapies for cancer and beyond. #singlecellgenomics #Immunotherapy
PI of the machine learning for Integrative genomics lab @pasteur.fr and @CNRS.bsky.social
#NewPI #DiversityEqualityInclusion
Single-cell, multi-omics, machine learning
Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford
ML🤖+Bio🧬 https://brbiclab.epfl.ch/
🧬Bioinformatician in Steinegger lab, SNU, Korea 🤍Interested in protein structure and software development 🤺Live double life as a fencer
Developing bioinformatics software in Steinegger lab. at Seoul National Univ.
Bioinformatics PhD Student
Steinegger lab, SNU, Korea
🎓 ECE @Seoul National University
🇰🇷 Grad student @SteineggerLab
Integrated Ph.D. program at Steinegger Lab
@martinsteinegger.bsky.social
Majored in Bioscience at @Seoul National University
Studying RecSys, Bioinfo @ Seoul National Univ. 🇰🇷 • former Steinegger Lab • 🧠 → 🧬 → 💻
https://willett.psd.uchicago.edu/
Worah Family Professor, University of Chicago
National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/)
Institute for AI in the Sky (SkAI, https://skai-institute.org/)
PhD student in Computational Structural Biology @Utrecht University
ML for structural bioinformatics
senior researcher Microsoft Research | AI for biomedicine
instructor Introduction to Deep Learning
Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior
PhD student in Computational Biology at UT Austin
Previously at IIT Kharagpur
Interested in AI, Genomics and Human Health
https://sites.google.com/view/devanshpandey
Product Marketing Lead @NVIDIA
| PhD @UMBaltimore | omics, immuno/micro, AI/ML | 🇺🇸🇸🇰 |
Posts are my own views, not those of my employer.
PhD student @ FU Berlin 🧑🏻💻 | Drug discovery, AI/ML & Structural bioinformatics
Making medicines; inter-disciplinary research; ❤️ biology chemistry AI/ML; Christian ✝️; husband & parent; bike packer 🚵;🇬🇧& 🇮🇪; auld yarns 💬; views are only mine 😉
Asst. Professor of Chemistry at Cornell University. Interests: Bio, Chem, ML, Statistical Estimation, Electron Microscopy, Good code.
Senior ML Scientist I at BigHat Biosciences.
Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge.
Views are my own.
Machine learning @ASML. ML for science. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
ML Research Engineer @ D. E. Shaw Research
Postdoctoral Research Assistant in the @gjbarton.bsky.social Group at University of Dundee
Ligand site prediction benchmark: tinyurl.com/Utges-LBS
Fragment screening sites: tinyurl.com/Utges-FRAGSYS
Ankyrin repeats: tinyurl.com/Utges-ANKS
working on problems at the intersection of machine learning, structural biology, and physics @ Prescient Design. previously an experimental biophysicist @Stanford.
Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA.
Prev: @jura.bsky.social, PhD with Debora Marks
Website: alannawzadamin.github.io
aneeshsathe.com
🧪🧬💻🤖🔬🦠🩺💊🐍
Doctoral Student at the Carnegie Mellon University - University of Pittsburgh Joint Ph.D. Program in Computational Biology (CPCB). Former - Mathematics, IIT Bombay
Working on simulating molecules with AI @valenceai.bsky.social, @recursionpharma.bsky.social | Ex UBC, IIT Delhi
For more details: shenoynikhil.com
Computational Biology Lab at MBG-CSIC, Pontevedra, Spain
@julio-r-banga.bsky.social
https://www.bangalab.org/
Our lab uses experimental and computational methods to design de novo proteins | @Stanford
Researcher. Interested in molecular biophysics using ML + protein structure experiments.
AI Protein Design | PhD Candidate at Johns Hopkins University - Gray Lab
https://graylab.jhu.edu/
http://linkedin.com/in/brcarpen
Presidential Associate Professor @upenn.edu - using AI to reimagine antibiotic discovery and peptide design. Previously @MIT, @UBC
🔗 https://delafuentelab.seas.upenn.edu
Johns Hopkins PhD Student Antibody Engineering & Machine Learning
http://linkedin.com/in/mfc12
