8th grade graduation exam from 1912. This wasn’t for affluent kids in New England. This was rural Kentucky.

Be less curious about people and more curious about ideas. -- Marie Skłodowska Curie

Congratulations to @dendenesara and @EmanueleBiondi5 for this important work. It was a long and tiring process, but it ended in the best possible way! Sinorhizobium meliloti FcrX coordinates cell cycle and division[...] pnas.org/doi/10.1073/pnas.24…

It was time! After two revisions at @MolBioEvol , and the incomprehensible decision to reject it based on mysterious simulations performed by the reviewer, we are proud to announce that @mSystemsJ liked it! A novel hypothesis on the origin of operons: journals.asm.org/doi/10.1128…

Paul Dirac explains the deep connection between mathematics and theoretical physics, highlighting how mathematical beauty often guides the discovery of new physical laws. ✍️

very easy to get fascinated by seeing things. I used to spend hours decorating my homology networks back in 2006-2008 but it is much more rewarding to exploit network theory to extract non trivial information about the biological system. So, go on!

“Man is the most insane species. He worships an invisible God and destroys a visible Nature. Unaware that this Nature he’s destroying is this God he’s worshiping.” -- Hubert Reeves (1932 - 2023) He would have turned 92 today. He passed away last year in Paris.

Update -- Brownian motion evolution on a phylogeny (a GIF) using #phytools, plus the #Rstats code here: blog.phytools.org/2024/07/an….

76 years ago #Today, Claude Shannon published the article 'A Mathematical Theory of Communication', cited over 100,000 times, which is rare for a scientific article and gave rise to the field of information theory.

In a blog post, she tells the story of the reaction she received when she pointed this out to her (tenured) professor at the time, and to others. She was basically told not to waste her time: "a lot of the scientific literature has problems". liorpachter.wordpress.com/20… 7/

My book Interpretable Machine Learning has been career-defining. Even though the book is available on the web for free, many have supported me by buying the ebook or paperback, which ultimately helped me become a full-time writer. I'm grateful for all your support 🙏

many tell us about the books that they are going to read this summer. things like geometry, qed, qm, string theory. sincerely. stop showing off! no one trust you. very bad having this habit in science (saying things just to appear)

Train PhD students to be thinkers not just specialists #PhD #PhDlife #academics #AcademicChatter #AcademicTwitter #Postdocs #Research #Science

If any PhD or Postdoctoral researchers are interested in joining the lab to work on Aquatic Microbiology in the Great Lakes region, let me know! The Walder Foundation Biota Postdoctoral Fellowships are now open walderfoundation.org/2025-bi…

alphafold3 not free...but all the structures that were used for training are public and free to use.. for profit? what do you think?

Single Molecule Bacteriology III is coming in 2024! Great working again with my favorite colleagues @AchillesKap @stephan_uphoff and Meriem El Karoui, and welcome @seamus_holden! Register your interest here to receive the latest news: biochemistry.org/events-and-…

Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. This often leads to contradictory conclusions if not carefully analyzed. For example, in a data set, you might see a positive trend between variables X and Y. However, when you split the data into subgroups based on a third variable, Z, the trend might reverse or disappear. Key takeaways: ✔️ Always consider potential lurking variables that could influence your results. ✔️ Be cautious with aggregated data; sometimes the real insights lie in the subgroups. ✔️ Use visualizations to better understand the relationships within your data. Giannis Tolios shared this great visualization on Simpson's Paradox in a recent post, emphasizing the importance of thorough analysis to avoid such pitfalls. This paradox underscores the necessity for data analysts to be meticulous in their work to prevent erroneous interpretations. #statistics #datascience #statisticalanalysis

I often prefer to read math than to watch videos on it, especially in reviewing material. For anyone who feels the same, there are now written/illustrated versions of the linear algebra series, thanks to the help of Kurt Bruns. 3blue1brown.com/lessons/eige…