Shaurita D. Hutchins

2.9K posts

Shaurita D. Hutchins

Shaurita D. Hutchins

@shauritacodes

#Genetics #Genomics & #Bioinformatics PhD candidate at @UAB_GBS. In @lizworthey's lab. #WomenInStem #HBCUGrad #PhDLife #DataScience #SciComm

Birmingham, Alabama Katılım Kasım 2017
829 Takip Edilen555 Takipçiler
Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
I grew up having magical Christmases as a child, and this year, I decided to reclaim that joy after experiencing the loss of my mom a few years ago. We all deserve to experience the magic of life every day. shauritahutchins.com/creating-new-c…
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Science Magazine
Science Magazine@ScienceMagazine·
"Productivity, I’ve come to see, is not measured only by research papers and grants. It is also sustained by presence, rest, and the relationships that give meaning to the work." #ScienceWorkingLife scim.ag/3XR5Y9S
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
I just want there to be a journal club in graduate school that is actually covering a topic I'm interested in....Please.
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Debora Marks
Debora Marks@deboramarks·
New paper “Proteome-wide model for human disease genetics” is now live at Nature Genetics: rdcu.be/eRu7K popEVE (pop.evemodel.org) finds the needles in the haystacks of human genetic variation:
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
I think when I finish my PhD that I need to spend a year doing absolutely nothing. I need time to heal and breathe. I also just don't think I can stay in academia. I think the best route is for me to work for myself. The world is just increasingly more hostile. #AcademicTwitter
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David East
David East@_davideast·
The culture at @GoogleLabs is unreal. I pitched an idea. Coworker: "Cool, let's build it." . We were testing it in under an hour. This bias for action is everything.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
@shauritacodes It’s not always, and the reverse may happen as well - for academia. In industry, especially tech, things move very fast and turnover can be high. So an implicit “I prefer academia” signal may indicate that you’ve got one foot out the door before you even start.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
Advice to PhD jobseekers: “I’m on the academic *and* industry job market” isn’t helpful. Choose carefully what you signal to your most likely employers.
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
“So why get a phd??” Because I want to use the knowledge I’ve gained to help others. To make their lives better or easier. I don’t know what that will look like in a job. Maybe I will have to work for myself.
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
I don’t know about science anymore. I love it, but I don’t think I’m built for it. There are rules you are supposed to know that no one tells you. On top of that, most people only care about status, money, or fame. I don’t want to spend the next 20 years fighting that every day.
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
@docmilanfar Ah, I see. That is an interesting insight I didn’t consider. I’m curious how or why it’s perceived that way - as a fallback.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
@shauritacodes The point I tried to make is that a public pronouncement that you’re on both market can be interpreted as you are primarily interested in academia, and will settle for industry if you have to. That’s fine of course - I’m certainly not discouraging anyone from applying to both.
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R Consortium
R Consortium@RConsortium·
TOMORROW! R+AI 2025 goes live! Highlights: • Joe Cheng (Posit): Keeping LLMs in Their Lane • Oracle ML: RAG from your DB (Hornick & LaMonica) • Troy Hernandez: Stable Diffusion in R • More! Nov 12–13. See the full program and register: rconsortium.github.io/RplusAI_websit… #rstats #AI
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Jason "boundless delight " Williams
Jason "boundless delight " Williams@JasonWilliamsNY·
Interested in learning materials to prepare undergraduate students for working with pathogens and pathogen data? I’m hosting a small curriculum development sprint/workshop. Industry/clinical and educators needed. Please share. Apply by November 28, 2025 dnalc.cshl.edu/pdn-2026-works…
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Shaurita D. Hutchins
Shaurita D. Hutchins@shauritacodes·
My ears perk up when I hear about hypothesis generation and LLMs. To me, this is the most interesting and still somewhat under explored area of how LLMs can be used in science. Love this work!
Chenhao Tan@ChenhaoTan

Recruiting PhDs & postdocs for: 🤖 agents "taking over" science (hypogenic.ai and 📌) 🧪 Real scientists ➡️AI (e.g., materials, chem, physics) 📜 Theory + incentives for H-AI collab & credit (e.g., formalizing tacit knowledge) new adventures for me, 🔄 if you can! 🙌

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Andrew Akbashev
Andrew Akbashev@Andrew_Akbashev·
Pressure to publish jumps. And researchers have no time to do science. (New survey from Elsevier) Survey of 3200 researchers: 1. Only 45% of scientists have sufficient time for actual research. 2. For 68%, the pressure to publish today is greater than 2-3 years ago. 3. 29% of researchers are considering relocating to another country (for better funding, work‐life balance, or greater research freedom). 4. 58% of researchers use AI tools in their work. 5. Reported benefits from AI: saving time (58%), helping with literature summaries (61%), literature reviews (51%), data analysis (38%), drafting proposals (41%), and drafting papers (38%). Globally, life in academia is getting worse. For students & postdocs - it’s especially hard to decide on an academic career. ❗️ A few days ago, I gave a lecture on this topic. “PhD: Dreams, Reality and Consequences” Watch it here: lnkd.in/dA_GhYwd (I’ll appreciate if you ‘like’ this video - you will GREATLY help it reach more students.)
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NotebookLM
NotebookLM@NotebookLM·
Your wish is our command (within reason...) PDFs and Sheets can now be imported as sources from @googledrive! DocX support is coming very, very soon. What other source formats do we need to add next? Let us know below!
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Chenhao Tan
Chenhao Tan@ChenhaoTan·
AI can accelerate scientific discovery, but only if we get the scientist–AI interaction right. The dream of “autonomous AI scientists” is tempting: machines that generate hypotheses, run experiments, and write papers. But science isn’t just an automation problem — it’s also a resource allocation problem: deciding what matters, which hypotheses to test, and which results to trust. As AI expands the search space and eases knowledge production, human scientists will increasingly act as selectors and evaluators. Supporting these roles effectively is critical for meaningful progress. To help enable this shift, we’re introducing Hypogenic.ai, a platform for idea selection and evaluation. 💡 IdeaHub: collective rating and discussion of research ideas. 🧠 Ideation Assistant: AI-driven research ideation. Science will move faster only when we pair automation with effective scientist–AI interaction. Read the full piece here 👉 cichicago.substack.com/p/the-mirage-o…
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