Associate Professor in the Departments of Integrative Biology | Statistics and Data Science | Oden Institute for Computational Engineering and Science @UTAustin

Austin, TX
Joined May 2010
Humans are the only bipedal great apes, due to the evolution of our unique skeletal form. What genomic regions underlie such change? Our cover article in @sciencemagazine led by @EucharistKun and in collab. with @tarjs is now out! science.org/doi/10.1126/scie… xitter.cf/ScienceMagazine/status…
By combining data from full-body x-ray images and associated genomic data from more than 30,000 UK Biobank participants, researchers have provided new insights into the evolution of the human skeletal form. Learn more this week in Science: scim.ag/3qw
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Nick had so many of these amazing takes! Fondly remember our bagel chats at Mamalehs on Friday morning when he would be full of amazing stories. xitter.cf/kmurphy1/status/211332…
Nick Patterson (Renaissance Technologies) "[...I joined a hedged fund, Renaissance Technologies, I'll make a comment about that. It's funny that I think the most important thing to do on data analysis is to do the simple things right. So, here's a kind of non-secret about what we did at renaissance: in my opinion, our most important statistical tool was simple regression with one target and one independent variable. It's the simplest statistical model you can imagine. Any reasonably smart high school student could do it. Now we have some of the smartest people around, working in our hedge fund, we have string theorists we recruited from Harvard, and they're doing simple regression. Is this stupid and pointless? Should we be hiring stupider people and paying them less? And the answer is no. And the reason is nobody tells you what the variables you should be regressing [are]. What's the target. Should you do a nonlinear transform before you regress? What's the source? Should you clean your data? Do you notice when your results are obviously rubbish? And so on. And the smarter you are the less likely you are to make a stupid mistake. And that's why I think you often need smart people who appear to be doing something technically very easy, but actually usually not so easy.]" 1. news.ycombinator.com/item?id… 2. robohub.org/talking-machines…
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Vagheesh Narasimhan retweeted
Nick Patterson (Renaissance Technologies) "[...I joined a hedged fund, Renaissance Technologies, I'll make a comment about that. It's funny that I think the most important thing to do on data analysis is to do the simple things right. So, here's a kind of non-secret about what we did at renaissance: in my opinion, our most important statistical tool was simple regression with one target and one independent variable. It's the simplest statistical model you can imagine. Any reasonably smart high school student could do it. Now we have some of the smartest people around, working in our hedge fund, we have string theorists we recruited from Harvard, and they're doing simple regression. Is this stupid and pointless? Should we be hiring stupider people and paying them less? And the answer is no. And the reason is nobody tells you what the variables you should be regressing [are]. What's the target. Should you do a nonlinear transform before you regress? What's the source? Should you clean your data? Do you notice when your results are obviously rubbish? And so on. And the smarter you are the less likely you are to make a stupid mistake. And that's why I think you often need smart people who appear to be doing something technically very easy, but actually usually not so easy.]" 1. news.ycombinator.com/item?id… 2. robohub.org/talking-machines…
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If you are at #ashg26 and are interested in a postdoc on AI and genomics or wet lab validation of some of our candidates come talk to me! Hiring for multiple positions.
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Vagheesh Narasimhan retweeted
UT Linguistics'll have 4 (!) computational linguists! Consider applying! I'm looking for students and also potentially postdocs. For postdocs, particularly interested in philosophically rich issues around AI cognition: Can AI introspect? How can we study if they have preferences?
The UT comp ling faculty (@jessyjli, @kanishkamisra, @kmahowald & myself) are looking for PhD students to join us! sites.utexas.edu/compling/ 🤘 We are an interdisciplinary group with interests across linguistics, cogsci and NLP. Apply by 12/1: liberalarts.utexas.edu/lingu…
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I tell all my students (and on and off myself) stay long on biotech. Don’t just short to tech like all your friends. xitter.cf/agingroy/status/204780…
A weekly jab in the belly is generating more revenue than the entire AI industry. Ozempic + Mounjaro: $71B in 2025. OpenAI + Anthropic: $29B. And they've barely started. ~2% of the 800 million eligible patients can currently access them. h/t @DrSamuelBHume
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Vagheesh Narasimhan retweeted
Recent preprint shows that the 17q21.31 inversion can occasionally recombine with the normal orientation, but it is very rare. The inverted haplotype (which is under positive selection) is on a nearly independent evolutionary trajectory and you can date when "geneflow" happens
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My 2c on college tennis: make college about academics. Let students who get in academically compete against each other. If you want to go pro, pursue the pro pathway. Right now, it’s like a b pro league and few athletes eventually go pro and the rest dont have time for academics
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Proof of Sylvesters conjecture (every prime number that leaves a remainder of 4, 7, or 8 when divided by 9 is the sum of two cubes) by my brilliant colleague Ashay Burungale. Unsolved since the 1870s... arxiv.org/abs/2609.14893
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@TexasScience You should cover Prof. Burungale's findings for a public audience - it's brilliant!
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Vagheesh Narasimhan retweeted
🧬🐟 This week marks # WorldMitochondrialDiseaseWeek (Sept 14–20). @scekker and I are excited to share our team's new preprint Z-Terminator: Systematic Engineering of Loss-of-Function Alleles in the Zebrafish Mitochondrial Proteome biorxiv.org/content/10.64898… #Mitochondria #Zebrafish
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Vagheesh Narasimhan retweeted
A rather special paper for me, for more reasons than one 🐍 Our new work is out in Science Translational Medicine, where we show that a recombinant antivenom made from just five nanobodies can protect against geographically diverse cobra and king cobra venoms from across India
IISc researchers and collaborators have developed a recombinant, nanobody-based antivenom that offers broad protection against venom from geographically diverse cobra and king cobra species in India. @LabVenomics Read: iisc.ac.in/events/engineered… #IIScresearch
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If Wilson US open is this bad, imagine the junk people bust out on the USTA leagues. :P xitter.cf/Taylor_Fritz97/status/…
Massive tennis ball rant incoming. After playing Washington, Cincinnati, and the US Open, plus a full week of training in New York beforehand, I got a VERY good feel for the Wilson US Open balls we were using and know EXACTLY what they should feel like off my racket. They were good balls, and I have no complaints about what we played with at those tournaments this summer. But since coming home, my last two days of practice with Wilson US Open balls have been miserable. They are sold, marketed, and labeled as the same balls, but the way they come off my racket and feel couldn’t be more different. After that many weeks using the tournament balls, I know exactly how they respond. The balls I’m practicing with feel like literal green-dot kids’ balls: incredibly soft, dead, and going nowhere. I’m playing on a court with a similar speed to the courts at the Open as well just to be clear. I’ve tried balls from multiple cases to rule out a bad batch, and unfortunately, it’s been the same across the board. Other players I’ve spoken to since the Open have described the same thing. The amount of effort I have to use to just produce a regular rally ball with these balls is insane. I’m having to throw my whole body into shots and swing out of my shoes just to produce a solid rally ball. Beyond being frustrating, it feels like it’s creating bad habits (I would never swing this aggressively normally or else I’d sent balls to the back fence or mistime every other shot) I’m having to adjust the way I hit just to compensate for a ball that behaves nothing like the one we use in competition. That leads to the obvious the bigger issue and the reason for the rant: we need to be able to train with the same balls we compete with, and in the past I feel like this wasn’t usually an issue. It didn’t used to feel this way. There was consistency, and any small differences could usually be explained by the court or conditions. Over the last year and a half, though, I’ve noticed such a significant difference between retail balls from both Wilson and Dunlop and their tournament equivalents, which are supposed to be identical, that it completely changes how you want to construct points and take risks on shots and just play points in general. I’m not exaggerating it really is making that big of a difference at the pro level. The only positive I can take out of playing with these balls the last couple days is that it takes such more extra effort in every shot i hit at least it has been good cardio consistently having to swing so hard all the time 😂 It’s disappointing that this has started to feel normal. Training is a lot less enjoyable, and a lot less productive, when you’re spending it practicing with balls that are so different from what you’ll use when it matters. Okay, rant over. Everyone go enjoy watching the rest of the Open :)
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Vagheesh Narasimhan retweeted
More Denisovan bones! Identified by proteomics again. These ones come from Yunan and date from ~167-134ka. These new bones give insights about where Denisovans lived and about their arm morphology Read this amazing paper from Qiaomei Fu's group here: nature.com/articles/s41586-0…
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Good to be in a field where the frontier is still making a drug that works in a human for common disease, or sequencing the genome of homo erectus. i.e. hardware is just as important as software.
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Vagheesh Narasimhan retweeted
4000 GB200s just arrived in Texas for the Horizon TACC cluster. I'm informed this is the largest academic supercomputer. Very excited to start training some open models with this bad-ass machine. (photo courtesy of Adam Klivans, director of NSF IFML)
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“the obstetrical dilemma is between accommodating a large fetal head & maintaining pelvic floor stability, rather than obstetrics and bipedal efficiency”. Paper in @PNASNews looking at the Neanderthal pelvis adding support to our work in Xu et al. Science pnas.org/doi/10.1073/pnas.25…
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Vagheesh Narasimhan retweeted
One part of this project I'm very excited about is the website we made to explore the PubCheF-1 predictions over 13.2 million molecules! 🧵
Can we use human language to predict novel bioactive molecules that work in vivo? In our new paper, we trained a deep learning model on a dataset derived from PubMed text and used it to discover novel antibiotic co-inhibitors that reduced infection burden, even in mouse models!
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