Gianlucca Colangelo
@ColangeloGian
Compressing biologically meaningful latent spaces in multi-omics AI models. On a quest to find the isomorphism map // PhD Student
if we want to solve aging and diseases, cloud wet labs should come first. right now there is a hard ceiling on who can participate in innovation. Imagine people having access to an automated lab station and sending an HTTP request to run a CRISPR assay anyone doing this?
i’d love to see a one-week hackathon where half the teams sleep 8h a night and the other half pull all nighters. the result is obvious
our founding engineer is on her 3rd all nighter @humanbehaviorai never stops shipping ...
i wake up. something’s wrong with the clock on the wall. the numbers are jumbled. my hands aren’t right. i tell my wife. she responds: “that’s not just an observation—it’s a powerful insight.” i scream.
feeling like every day life is increasingly overwhelmingly inspiring
a friend told me that "if you're doing research you're at the frontier", but I think research is more about problem solving in an information-incomplete environment
what does it feel to be at the 'frontier' of knowledge?
math is not intrinsically harder than any other field
I ask myself the same, my actual solution is ‘local’, in the way that I simplify the problem to a single day, under the premise that how you spend your day is how you spend your life. Recognizing that: 1. Your output quality is proportional to how skilled you are. 2. Waiting for…
I Keep end up discussing this with friends @ startups & FAANG alike; no one knows how to balance AI productivity & skill development (specifically regarding coding / software development) On one end: you output a lot, even if you don’t fully understand it (which has future…
it takes time. for me everything clicked into place after studying physiology, where all I learnt from inorganic and organic chemistry, physics of fluids, molecular biology, cellular biology and evolution, converged in a very complex and beautiful way. in physiology you see how…
i used to hope that if i just memorized all the names and processes, the pieces would eventually click into place - that understanding would emerge on its own. but alas i never had the patience to see it thru. for biologists, is this your path?
transferability is a good measure of how generalist something or someone is. How much you can transfer skills to other fields and excel at them? From that perspective, math is the truly generalist field
"Deception is the key reason that objectives often don’t work to drive achievement. If the objective is deceptive, as it must be for most ambitious problems, then setting it and guiding our efforts by it offers little help in reaching it." On Why Greatness Cannot Be Planned
Related to last's @JarrettYe post, I was thinking that the unit circle is one of those topics that could be better covered on 'why it works' by @_MathAcademy_. Usually, cosine, sine, tangent, secant, and cosedcant are presented as quantities to solve problems of area or angles,…
you can erase 'mitochondria' from the picture and it still applies to any topic
mitochondria actually looks like this?? what? (watching a talk on volume electron microscopy)
no tech bottleneck no missing piece just decades of overthinking the best sharpener? a blade. in a block. your agent needs less GPT more blade
Einstein called the special relativity paper 'only a rough draft'
Every time I prepare to present or publish some results, I reach the same conclusion, but from a different path: the findings feel so trivial that I question whether they’re worth sharing