Why Arrays as a Universal Data Model
Multi-dimensional arrays are powerful if supported by the right storage engine.
💯 we don't need more custom formats to deal with these data when they have already been standardized. TileDB is perfectly aligned with your observation. We're built on multi-dimensional arrays and use sparse and dense arrays to model complex bioinformatics data. More here: tiledb.com/blog/why-arr...
23.01.2025 21:30 — 👍 2 🔁 0 💬 0 📌 0
Biomedical Data Science Center Director @CHUV. Professor at @UNIL and @EPFL. AI, ML, and statistical learning for high-dimensional (single-cell/spatial) data in clinical and translational medicine. Interdisciplinary scientist passionate about data.
R advocate #rstats | PhD @CHUVLausanne @unil | Immunology, Immunotherapy, Single-Cell RNAseq, Spatial Transcriptomics, Statistics and Machine Learning. 📷⛸️🏔️
I treat every #singleCell gently. | PhD in Comp Bio at CHUV, Lausanne #OpenScience #SpatialTranscriptomics
Chief Data Scientist U of CA Health・Director, Bakar Computational Health Sci Institute・Distinguished Prof af UCSF・Entrepreneur・He/him・Opinions ⇨ my own
Systems immunologist at Yale, @yalecsei.bsky.social, @czbiohub.bsky.social
Me: https://medicine.yale.edu/profile/john-tsang/
Lab: https://www.tsanglab.org
Center: https://medicine.yale.edu/systems-engineering-immunology/
Immunologist @MonashUni, Head of Dept Microbiology, Past President of @ASImmunology; Trying to work out how immunity works, in particular T cells #Tcellsarecool #immunosky
Chief Scientist at @exai.bio — I use computational biology, machine learning and large-scale datasets to improve human health
Striving to provide better evidence to improve health globally! Professor, Departments of Biostatistics, Computational Medicine and Human Genetics, UCLA
@Stanford Professor. AI for science and medicine.
Computational Cancer Genomics Group
Postdoc in Computational Biology at @CirielloLab @dbc_unil.
Machine Learning for spatial omics.
https://batcheffect.com
Faculty. multiomic. EMR. informatics. womenhealth.#mom of 2. PECASE awardee. Fellow AIMBE. DEI ✊. Opion's my own.
Spatial biology + maths, finally starting to give up on The Bad Place
PhD in Bioinformatics
multi-omics, gut-brain axis
he/him 🏳️🌈
#opentowork #opentoPostDoc
LinkedIn: https://www.linkedin.com/in/eray-sahin
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
ML/AI methods & tools for using massive public data collections to gain insights into complex disease mechanisms.
Associate Professor & Group leader thekrishnanlab.org at the Dept. of Biomedical Informatics at CU Anschutz.
Senior Research Associate at Cambridge University
Genetic prediction, Multi-omics, Health data science, Machine Learning
Head, Dept of Biochemistry & Molecular Genetics, Univ of Illinois, College of Medicine: cell biology, vascular biology, genomics, computational biology, immunology, regeneration, neuroscience; https://chicago.medicine.uic.edu/bmg/profiles/rehman-jalees/
Ph.D student in Computer Science and Engineering at the University of Washington working with Su-In Lee.
