About a year ago, we cohosted a veridical data science event. This year, QB3-Berkeley is sponsoring Veridical Data Science for Biology, organized by graduate students and postdocs from the Center for Computational Biology at UC Berkeley. 🎟️ Check it out!
16.06.2025 15:44 — 👍 2 🔁 2 💬 0 📌 0
An example solution to the [Taxi Trips] exercise.
Here is a repository with the exercises I use in my data visualization class. We cover ggplot2/shiny and then consider different types of data (network, text, ...) and models (clustering, ...). I've tried to make the problems somewhat realistic. Feel free to reuse! github.com/krisrs1128/d...
20.05.2025 02:37 — 👍 6 🔁 1 💬 0 📌 0
@guggfellows.bsky.social I’m deeply honored to be named a 2025 Guggenheim Fellow—especially as part of the Foundation’s historic 100th class. Grateful to be in the company of so many brilliant artists, scholars, and scientists. #guggfellows2025
15.04.2025 14:15 — 👍 9 🔁 2 💬 0 📌 0
Simulating microbiome data has been on my mind since the PhD, and writing this together with Saritha, @mixomics.org and @jsb-ucla.bsky.social has been amazingly clarifying. Thank you also to participants of the @mig-unimelb.bsky.social workshops for all the valuable discussions! #rstats #microbiome
18.02.2025 04:24 — 👍 4 🔁 0 💬 0 📌 0
Regulatory genomics, machine learning, networks, systems biology, evolution
Visualization toolmaker. Founder of Observable. Creator of D3. Former NYT Graphics. Pronounced BOSS-tock.
Creating & writing about data vis for @datawrapper.de
BIDS is a space for Open Scholarship, Open Source, and interdisciplinary collaboration on AI in science and society. It is part of the UC Berkeley College of Computing, Data Science, and Society.
https://bids.berkeley.edu/
A lab dedicated to understanding host-pathogen interactions in order to develop new treatments for infectious diseases. We have a particular love for natural killer cells and views are our own!
Science integrity consultant and crowdfunded volunteer, PhD.
Ex-Stanford University. Maddox Prize/Einstein F Award winner
NL/USA/SFO.
#ImageForensics
@MicrobiomDigest on X.
Blog: ScienceIntegrityDigest.com
Support me: https://www.patreon.com/elisabethbik
Biodiversity-loving, error bar-needing statistics nerd; Associate Professor @UWBiostat. Methods & software for #microbiome & #biodiversity data. She/her.
CSO at Innovate Phytoceuticals. I science sometimes. Interested in all things #microbiome, #bioinformatics & data analysis.
Computational evolutionary biologist. Associate Professor at @sandiegostate.bsky.social, athlete, insomniac, writer, singer, polyglot, polymath. He/him. 🏳️🌈🇮🇳🇺🇸🐞🌱🐢🧬🏋🏾♂️🎤✍🏾 www.sethuramanlab.com Views are mine and mine alone.
💼DOROTHY EU COFUND fellow
🔵Physoc Trustee
👂🏼Pronounced “Fair-on”
🌏Karolinksa Institute, Sweden
previously Maynooth Uni IRL, Uni of Galway IRL, QMUL London UK, Uni of Nottingham UK, TCD Dublin IRL
🥼obesity-assoc cancer immunology
❤️wild swimming
⚧️She/her
Statistician, Computational Biologist, R | Bioconductor. Love stats and ML. https://www.huber.embl.de
Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
Applying statistics to biomedicine.
ORCID: https://orcid.org/0000-0001-8802-3642
Computer science PhD candidate. Raphael Lab, Princeton. Designing probabilistic models for evolutionary biology. | gillichu.github.io | Free time spent running, volunteering, and on side projects.
Graduate Class of 1991 Professor of Computer Science, Princeton University
Bioinformatician|Biostatistician. Assistant Professor at TAMU stat. Postdoc from MSKCC. PhD from Iowa State.
Website:https://sites.google.com/view/xiyupeng/home
Professor @ JHU, statistical genomics, www.hansenlab.org
Senior Bioinformatics scientist at @mpipz_cologne. Previously postdoc at the @RaineyLab in @MPI_EvolBio. Data Science, Bioinformatics, Machine Learning, R, Rcpp, Python
Author, attorney, and bad grammar haver.