Machine Learning Research Scientist @valence_ai and @recursionpharma 🤖 🧬 | Generative Models | Drug Discovery | Healthcare |
London, UK
Joined April 2008
- Tweets157
- Following1.4K
- Followers494
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Jessica Dafflon🍍 retweeted
"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41562-0… 1/8
Jessica Dafflon🍍 retweeted
Introducing a small portion of proprietary phenomics data from @RecursionPharma into the training of MolGPS, our foundation model for molecular property prediction, led to massive performance increases on new & existing benchmarks.
Learn more about the impact of data & scale.
Jessica Dafflon🍍 retweeted
In biology, unpaired data is the norm as experiments are often destructive. This limits our ability to build powerful multimodal models for drug discovery.
To fuel a multimodal future in TechBio, we propose a simple algorithm for matching. 🧵
youtu.be/7a29mGz9LXI
Jessica Dafflon🍍 retweeted
Sign up for the Reviewer Mentorship Program at #ML4H2024!
🧐 Want to review an ML4H paper but don't feel confident yet to do it alone?
OR
👩🏫 Passionate about guiding early-stage researchers in the review process?
Sign up by August 30 AoE!
📝 Apply here: forms.gle/79BU6VPXJpqEDKL89
Jessica Dafflon🍍 retweeted
Reminder to sign up to be a mentor or a mentee- deadline is this Friday, July 5th!!
Are you planning to submit a paper to ML4H 2024 and would like to receive mentorship from senior scientists?
Are you interested in mentoring early-stage researchers?
Sign up for the ML4H Submission Mentorship Program by July 5th AoE!
Program details: ahli.cc/ml4h/mentorship-prog…
Jessica Dafflon🍍 retweeted
📢Exciting job opportunity!
🧠 My lab is searching for a Research Assistant to work with computational modelling and neuroimaging to study the mechanisms of compulsivity
🔗Apply here: cis7.bbk.ac.uk/vacancy/resea…
🗓️ Closing date 16th July
🔁 Please retweet / share
Jessica Dafflon🍍 retweeted
Are you planning to submit a paper to ML4H 2024 and would like to receive mentorship from senior scientists?
Are you interested in mentoring early-stage researchers?
Sign up for the ML4H Submission Mentorship Program by July 5th AoE!
Program details: ahli.cc/ml4h/mentorship-prog…
Jessica Dafflon🍍 retweeted
"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6
Jessica Dafflon🍍 retweeted
Thank you to the ML4H 2023 Outreach Committee! @harryreyesnieva @ghadazamzmi @jessdafflon @probablybots @SarahJabbour_ @HyewonMandyJ @yang_yuzhe
Jessica Dafflon🍍 retweeted
How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? research.sc/participant/logi… 1/2
Jessica Dafflon🍍 retweeted
Attention neuroscientsts! 🧠
We just launched Neurosynth Compose: A free and open platform for neuroimaging meta-analysis.
NS-Compose makes it easy to perform custom neuroimaging meta-analyses without leaving the browser.
It's live, check it out! compose.neurosynth.org/
Jessica Dafflon🍍 retweeted
#PhD in #AI for development of digital twins of human brain functional dynamics for diagnosis and treatment of neuropsychiatric disorders with Robert Leech as part of Kings Digital Twins for Health CDT. Pls RT
lnkd.in/eApKT_fK
I am looking forward to sharing our findings at the Deep Generative Models for Health workshop at NeurIPS 2023! It was such a pleasure to work with @BAristimunha on this project! 🧠👨💻 @dgm4hworkshop #NeurIPS2023 #EEG #ProudMoment
Jessica Dafflon🍍 retweeted
📢 New dataset on @huggingface!
🔬 Synthetic mammography (medical imaging) dataset. These patients do not exist.
🎯 100k synthetic mammograms. 512x512 size. 3 labels:
- Low masking level (score ≤ 2)
- Medium masking level (2 < score ≤ 6)
- High masking level (score > 6)
🩺 Perfect for developing AI for cancer classification!
🔗 Available at
huggingface.co/datasets/SinK…
Dataset created based on CSAW-M dataset (released with authors approval).
#SyntheticData #MedicalImages #MachineLearning #BreastCancer
Jessica Dafflon🍍 retweeted
⏳ Only 3 days left to join our Career Mentorship Program! Want insights from experienced researchers or eager to share your wisdom with budding students?
Sign up now!
🔗 Mentees: forms.gle/xpAzczgHvAfk3drE7
🔗 Mentors: forms.gle/VZAU9G4Lq8urBsHR8
Hurry, the deadline is Oct 15, 2023!
Jessica Dafflon🍍 retweeted
📣Exciting news! Registration for #ML4H2023 is now OPEN! Be part of the action on Dec 10 at the Intercontinental New Orleans. Hurry, online registration closes on Dec 3! Secure your spot now: ahli.cc/ml4h2023/
Jessica Dafflon🍍 retweeted
🚨 New dataset! I'm releasing a synthetic chest X-ray dataset on @huggingface datasets.
This was created as part of a paper entitled Privacy Distillation (more details soon).
We ensured the images can NOT be used for re-identification!
huggingface.co/datasets/SinK…
Jessica Dafflon🍍 retweeted
I've had a great time leading the @SymposiumML4H Author Mentorship Program which ends on Sept 7th. 📢For those who didn't have a chance to participate, the Reviewer Mentorship Program kicks off soon and is still looking for mentors. ⏳Sign up by Aug 30!
⏳ Only 3 days left to join our Reviewer Mentorship Program! Want to review a ML4H paper but don't feel confident yet to do it alone? Interested in guiding early-stage researchers on reviewing? 💯
Sign up before Aug 30!
🔗 forms.gle/zRJjqYskMUvxoRov9
