Karthik Jagadeesh (@_kjag) profile picture

identifying novel disease targets and developing next gen therapeutics

Cambridge, MA
Joined April 2020
Karthik Jagadeesh retweeted
I’m super excited to announce Synthefy’s $6.5M seed round, led by Wing Venture Capital and joined by Haystack, Samsung Next, Canonical, Lightscape, and angels and operators from OpenAI, Microsoft, and Meta. Setting the price of every Uber ride in real time. Spotting the early signs of disease from thousands of patient measurements. Blocking a fraudulent payment before money moves. Keeping the power grid stable as supply and demand change every second. These decisions are not waiting for a better chatbot. They require Machine Intelligence, systems that can learn from massive volumes of structured data and make predictions beyond human scale. At Synthefy, our vision is to advance Machine Intelligence, enabling enterprises and users to make predictions on their troves of structured data that enable them to make critical business decisions. Nori is our first foundation model in a class of AI that will transform prediction. It already unlocks brand new ways of looking at prediction. But this is only the beginning of our journey towards zero-shot prediction that outperforms any bespoke ML. Our mission is to give customers predictive answers from their structured data that they cannot get from today’s tooling, 100× faster and at one-tenth the cost of bespoke ML. We aim to make Nori the universal prediction engine that enterprise software and agents call whenever they need to forecast, score risk, or make a decision from structured data. I’m deeply grateful to my co-founders, the Synthefy team, our early users, and investors. Special thanks to @ai for backing us from day -10, when I was still learning what PMF meant, and to Gaurav (Wing) for seeing the ambition and helping us take it further.
We are announcing our $6.5M seed round led by @Wing_VC, with @haystackvc, @samsungnext, Canonical @ai, @LightscapeVC, and angels from OpenAI, Microsoft, and Meta. We started Synthefy around a simple observation: most data that runs the economy is not text. It is transactions, sensor readings, trades, inventory, customer records, and time series. Yet every prediction problem built on that data, from forecasting and fraud detection to pricing and predictive maintenance, still requires a bespoke pipeline and months of data and ML work. We are building foundation models for structured data to change that. Our first model, Nori, puts predictive capability into its pretrained weights, so customers do not need to train and maintain a separate model for every dataset and use case. Our mission is to give customers predictive answers from their structured data that they cannot get from today’s tooling, 100× faster and at one-tenth the cost of bespoke ML. We are grateful to our team, early users, and investors for believing in our mission. Try Nori at synthefy.com/product/tabular. Full announcement in the comments.
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Karthik Jagadeesh retweeted
Introducing Spacelink, a unified framework for identifying and prioritizing spatially variable gene programs at tissue and cell type resolution and linking them to disease GWAS studies. Led by Hanbyul Lee & Haochen Sun biorxiv.org/content/10.1101/…
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Karthik Jagadeesh retweeted
I’m thrilled to share that I’ve joined @OpenAI as a research resident, focusing on safety research and AI for health. After nearly 10 years studying the brain, I’m excited for this next chapter building AGI to accelerate medical progress and scientific research! #feeltheagi
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Very excited to share that pgBoost is now published in @NatureGenet !!🧬 pgBoost is a regulatory SNP-gene linking framework combining single-cell multiome methods and genomic distance, informed by eQTL. Read more here: nature.com/articles/s41588-0…
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Karthik Jagadeesh retweeted
ML and ML+Bio Builders: We @vevo_ai are joining forces with @huggingface & @NVIDIAHealth to organize the 1st hackathon to build on Vevo's Tahoe-100M dataset. Join us! We will select 40 participants, provide compute and a $400 travel voucher for 10 travelers. Details in 🧵
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Karthik Jagadeesh retweeted
I am excited to join storied biotech pioneer @Amgen as Chief Scientific Officer and Head of Research. I look forward to partnering with my new colleagues to deepen understanding of biology and develop solutions to the most pressing medical challenges tinyurl.com/5n86sku5
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Karthik Jagadeesh retweeted
Excited to share our latest preprint, as part of ENCODE4, on a consensus variant-to-function (cV2F) score for functionally prioritizing variants for complex disease - led by Tabassum Fabiha and co-mentored with Alkes Price. biorxiv.org/content/10.1101/…
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Karthik Jagadeesh retweeted
I’m so excited to share the first pre-print from my lab at UCSD and the work of two excellent undergraduate researchers. We designed a new method to enhance eQTL mapping in small cohorts and thus improve disease-gene inference in non-EUR populations. medrxiv.org/content/10.1101/…
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Karthik Jagadeesh retweeted
So excited to announce that the Kappel Lab will open at @UCLA @uclachem in July 2025! We’ll combine high-throughput experiments and computation to build predictive sequence-structure-function models of RNA, proteins, and their interactions. More here: sites.google.com/view/kappel…
We’re excited to announce that five talented researchers and educators will be joining our department in the coming months! Learn more: bit.ly/welcomenewfaculty2024 @TomPFay @KalliKappel @LindertLab @petroviclab @uclaphyssci
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Karthik Jagadeesh retweeted
I’m delighted to share our lab’s latest study now published @NatureGenet👉 tinyurl.com/2p97xpj8. Led by the fantastic duo @CarinaShiau #JingyiCao, and a big collaborative effort with @m_hemberg @davetingmgh @nanostringtech and others. 🧵
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Karthik Jagadeesh retweeted
How do genetic perturbations change cells? How are these effects shaped by cell type and dosage? How do we best extract insight from modern massive perturbation atlases? Im pleased to share a new preprint where we develop a suite of statistical approaches to these Qs (link below)
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Karthik Jagadeesh retweeted
Excited to share the Smillie Lab's first paper! We discovered distinct lineages of the gut microbiota that are exquisitely adapted to inflammatory disease. This was a monumental effort led by Adarsh Kumbhari @mgh_ri @harvardmed @broadinstitute More: doi.org/10.1016/j.chom.2024.…
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Researchers from the Smillie Lab at @MGH_RI and the @broadinstitute identifies particular strains of gut bacteria that are more prominent in patients with inflammatory bowel disease (IBD) massgeneral.org/news/press-r…
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Excited to share our preprint proposing pgBoost, an eQTL-informed gradient boosting model that integrates scores from single-cell enhancer-gene linking methods and genomic distance to predict regulatory SNP-gene links (a key step in interpreting GWAS discoveries)!🧬 1/4
Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance medrxiv.org/cgi/content/shor… #medRxiv
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Karthik Jagadeesh retweeted
Great news! You can now browse the #500KGenomes summary statistics for all UK Biobank participants free of charge using our Allele Frequency Browser. The browser was launched on behalf of the Whole Genome Sequencing consortium. 🧬afb.ukbiobank.ac.uk/
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Karthik Jagadeesh retweeted
Our paper on comparative transcriptomics of the retina is finally out! Feeling happy, content and grateful! nature.com/articles/s41586-0…
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Congratulations to @saorisakaue … winner of the Eric S Lander award this year, presented at the @broadinstitute retreat.
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LLM Visualization: Amazing animated interactive tutorial to learn about GPT internals bbycroft.net/llm
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