
Associate Prof doing bioinformatics and computational neuro at @UofT and @CAMHresearch. Tweets about neurons, ephys, and single-cell RNAseq.
Toronto, Ontario
Joined February 2009
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Shreejoy Tripathy retweeted
John's paper is out. Can the transcriptomic profile of a neuron predict its physiological properties? A tale of ion channels and firing rate adaptation across species.
sciencedirect.com/science/ar…
Shreejoy Tripathy retweeted
Thrilled to see PsychAD published! 🧠
A journey begun in 2019: 60+ investigators, 8 institutions, 1,494 human brains—illuminating brain aging and disease.
Supported by NIA. Made possible by the generosity of donors and families.
psych-ad.org/
nature.com/collections/jfibi…
Shreejoy Tripathy retweeted
CIHR has been engaging the research community on how to keep the Project Grant program strong, fair, and sustainable as application volume rises.
Read more about key themes that emerged and what comes next: cihr-irsc.gc.ca/e/54795.html…
Shreejoy Tripathy retweeted
Primate brains increased computational power and area specialization during evolution, not by making more neurons per volume of tissue, but by making large and complex 'psychic cells' in the newly evolved prefrontal cortex. nature.com/articles/s41467-0…
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Shreejoy Tripathy retweeted
First paper from the lab! Check out our review for Molecular Psychiatry on single-cell studies of brain disease:
nature.com/articles/s41380-0…
Shreejoy Tripathy retweeted
Transitioning to being a PI in the age of AI
Computational biology is in a period of upheaval that is both exhilarating and terrifying. Rapidly, we are approaching a moment of “analytic abundance”, where basically idea you can think of (and several you didn’t) magically appear within minutes of you thinking of them. Of course, the central proximal challenge is the evaluation of the sheer volume results—how do we know they are right when we don’t have the time to check over every line of code?
I think it’s very telling that when I talk to AI-pilled faculty, they are exhilerated, but many trainees seem more cautious and far more ambivalent. I think that’s because faculty often have been removed from the details for a long time and probably haven’t checked over a line of code in years. They are used to managing (rather than doing) analysis. Over time, they usually develop a sense for whether things seem right or wrong. In this day and age, this is the skill that you, too, must develop.
How do faculty do it? I am guessing every faculty member has their own list of internal sanity checks, but here are a few of mine:
* Checksums. I look for things that should add up correctly (percentages add to 100, etc.). If it looks even a little bit off, I ask questions.
* Never let go. If something doesn’t make sense, I don’t let go until it does make sense. Never relent!
* Explain stray datapoints. Always dig into outliers in the data. How did they come to be? Often, they reveal some hidden assumption or something unexpected about the data.
* Do not tolerate warnings. If code gives you a warning, resolve it. Do not continue, do not pass go, until you either understand or eliminate the warning.
* Track the number of datapoints. Even a single missing row can be a sign of some fencepost bug.
And I’m sure many more that I’m forgetting right now. Basically, it’s a transition from a maker to an interrogator.
I also feel it worth reiterating that this is a highly unsetting period of time. I have been fortunate (?) to have 16 years of time to make a transition that people are now being asked to make in months. Again, exhilarating and terrifying, all at once!
Shreejoy Tripathy retweeted
Replying to @nalidoust
Approach sounds very similar to science.org/doi/10.1126/scie…
Shreejoy Tripathy retweeted
It’s bittersweet but the scientific review article format is dead. It had a good run. RIP my friend.
Shreejoy Tripathy retweeted
What if we could record single-cell RNA levels and videos in the same cells? Our new VISTA-FISH assay links gene expression with neuron firing, lysosome movement, and neuron morphology. VISTA-FISH also detects sgRNAs, enabling live-cell CRISPR screens 🧵
biorxiv.org/content/10.1101/…
Shreejoy Tripathy retweeted
If you are a neuroscience graduate student in the USA and you have been affected by current changes in your research environment @WesternU may be able to help you. My lab would take students that successfully apply to this program.
grad.uwo.ca/finances/western…
Shreejoy Tripathy retweeted
Are they playing for a major budget reduction in the next Fiscal Year?
NIAAA is starting to concern me drugmonkey.wordpress.com/202… via @drugmonkeyblog
Shreejoy Tripathy retweeted
A clinical road map for single-cell omics🫶
cell.com/cell/abstract/S0092…
Shreejoy Tripathy retweeted
Do you want to measure brain aging from a single MRI scan?
Check out our latest work out in @NatureAging
Shreejoy Tripathy retweeted
Please share: Seeking new Director of the historical Montreal Neurological Institute and Hospital (the Neuro)! Calling on neuroscience leaders across the globe - please consider applying to this important position.
mcgill.wd3.myworkdayjobs.com…
Shreejoy Tripathy retweeted
Due to NIH cuts I’m on the job market. Computational biologist, data scientist, human geneticist targeting industry in Seattle or remote. Python, R, SQL, Linux cluster computing, command line, data viz plus deep genetics and bio expertise. PhD from Columbia University. Please RT!
Shreejoy Tripathy retweeted
What happens to all those alternative transcripts?
👉 Many are translated
👉 Proteolytic processing adds even more diversity
Integrated mRNA & protein isoform landscape now out on bioRxiv!
doi.org/10.1101/2025.04.16.6…
#proteomics #transcriptomics #systemsbiology
Shreejoy Tripathy retweeted
Cell type-specific associations with Alzheimer's Disease conserved across racial and ethnic groups
biorxiv.org/content/10.1101/…
Shreejoy Tripathy retweeted
Exciting news! Apply now for the Single Cell Workshop 2025, June 19-20 at the Montreal Neurological Institute! Topics: sample prep, analysis workflows, data management, and open science. Free to attend, but spots are limited. Apply by April 25: lnkd.in/eErvbcRg.
Shreejoy Tripathy retweeted
Time for 🇨🇦 to Lead.
Brain gain? Toronto's @UHN hospital system will announce a strategy to attract U.S. health scientists - plan to be unveiled Monday.
Website isn't up yet, but U.S scientists interested check here Monday. Hopefully other hospitals & universities follow UHNCanadaleads.ca


























