@phil-fradkin.bsky.social
Born too late to explore the Earth
Too early to explore the Galaxy
Just in time to model the cell and climb some rocks
PhD @ UofT and Vector Institute
Too early to explore the Galaxy
Just in time to model the cell and climb some rocks
PhD @ UofT and Vector Institute
What a great line up!
November 24, 2025 at 6:05 AM
What a great line up!
I think there is awesome progress in youtube education channels. A good example of this is 3blue1brown where he's able to explain the intuition behind concepts that you've had to only memorize before
October 2, 2025 at 12:53 AM
I think there is awesome progress in youtube education channels. A good example of this is 3blue1brown where he's able to explain the intuition behind concepts that you've had to only memorize before
I've been using notebook lm to go through one or multiple papers and really enjoyed it since it does citations to the original text.
For lit review undermind has been awesome
For lit review undermind has been awesome
September 26, 2025 at 11:15 PM
I've been using notebook lm to go through one or multiple papers and really enjoyed it since it does citations to the original text.
For lit review undermind has been awesome
For lit review undermind has been awesome
2. Orthrus (spotlight @ AIDrugX): Contrastive learning for mRNA representations with biologically inspired augmentations
Looking forward to seeing friends and meeting new folks. Happy to chat about these mythically named methods and other ideas for cellular rep. & gen. learning!
Looking forward to seeing friends and meeting new folks. Happy to chat about these mythically named methods and other ideas for cellular rep. & gen. learning!
December 9, 2024 at 8:59 PM
2. Orthrus (spotlight @ AIDrugX): Contrastive learning for mRNA representations with biologically inspired augmentations
Looking forward to seeing friends and meeting new folks. Happy to chat about these mythically named methods and other ideas for cellular rep. & gen. learning!
Looking forward to seeing friends and meeting new folks. Happy to chat about these mythically named methods and other ideas for cellular rep. & gen. learning!
Reposted
My conclusion: We should pay attention to train/test splits, not blindly follow standard benchmarks which are often very flawed in many applied ML areas, not hype up early results. We should be more collaborative, be generous with credit, give benefit of the doubt & be less adversarial
December 9, 2024 at 6:05 AM
My conclusion: We should pay attention to train/test splits, not blindly follow standard benchmarks which are often very flawed in many applied ML areas, not hype up early results. We should be more collaborative, be generous with credit, give benefit of the doubt & be less adversarial
Is it saying that most of the signal is driven by the plasmid making it into the cell?
November 26, 2024 at 4:35 PM
Is it saying that most of the signal is driven by the plasmid making it into the cell?
Do you mind elaborating a bit for the less experimentally experienced?
What I understood: So the data is something like perturb seq and while it's got great replicate correlation, if you subtract the null control you get no correlation?
What I understood: So the data is something like perturb seq and while it's got great replicate correlation, if you subtract the null control you get no correlation?
November 26, 2024 at 4:35 PM
Do you mind elaborating a bit for the less experimentally experienced?
What I understood: So the data is something like perturb seq and while it's got great replicate correlation, if you subtract the null control you get no correlation?
What I understood: So the data is something like perturb seq and while it's got great replicate correlation, if you subtract the null control you get no correlation?