Jeremie Kalfon 👨💻🧬🤖🚀
@jkobject.com
Doing a Ph.D. AI in Bio. | Ex @WhiteLabGx @BroadInstitute @MIT | Built @PiPleteam | ML, Cancer, Genomics, Data Sci, Entrepreneur, FullStack Dev | All views are mine
Without double-talk and with amazing panelists🧑🔬:
- Yann Fleureau, CEO, Blossom Life Sci & Founder of Cardiologs
- Steven Jerome, Director, Lead of Hit Discovery, Schrödinger
- Jérémy Besnard, Advisor, InFocusTx & Co-founder of Exsciencia
- Sofia Dahoune, Partner at Daphni
2/3
- Yann Fleureau, CEO, Blossom Life Sci & Founder of Cardiologs
- Steven Jerome, Director, Lead of Hit Discovery, Schrödinger
- Jérémy Besnard, Advisor, InFocusTx & Co-founder of Exsciencia
- Sofia Dahoune, Partner at Daphni
2/3
November 7, 2025 at 9:15 AM
Without double-talk and with amazing panelists🧑🔬:
- Yann Fleureau, CEO, Blossom Life Sci & Founder of Cardiologs
- Steven Jerome, Director, Lead of Hit Discovery, Schrödinger
- Jérémy Besnard, Advisor, InFocusTx & Co-founder of Exsciencia
- Sofia Dahoune, Partner at Daphni
2/3
- Yann Fleureau, CEO, Blossom Life Sci & Founder of Cardiologs
- Steven Jerome, Director, Lead of Hit Discovery, Schrödinger
- Jérémy Besnard, Advisor, InFocusTx & Co-founder of Exsciencia
- Sofia Dahoune, Partner at Daphni
2/3
👉Learn more & apply:
LinkedIn
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lnkd.in
October 6, 2025 at 8:46 AM
👉Learn more & apply:
🔷 Alnylam BioVenture Challenge — one day at Alnylam HQ, one shot at $100K in non-dilutive funding. Apply by Oct 17.
And — we’re also recruiting the next generation of Nucleate Leaders. If you’re ready to build biotech and strengthen the community behind it, apply today.
And — we’re also recruiting the next generation of Nucleate Leaders. If you’re ready to build biotech and strengthen the community behind it, apply today.
October 6, 2025 at 8:46 AM
🔷 Alnylam BioVenture Challenge — one day at Alnylam HQ, one shot at $100K in non-dilutive funding. Apply by Oct 17.
And — we’re also recruiting the next generation of Nucleate Leaders. If you’re ready to build biotech and strengthen the community behind it, apply today.
And — we’re also recruiting the next generation of Nucleate Leaders. If you’re ready to build biotech and strengthen the community behind it, apply today.
It’s about growth, collaboration, and the chance to give back by lifting others.
Two flagship opportunities are now open:
🔷 Activator 2026
— our equity-free accelerator equipping scientific founders with the tools to launch biotech ventures. Apply by Oct 20.
Two flagship opportunities are now open:
🔷 Activator 2026
— our equity-free accelerator equipping scientific founders with the tools to launch biotech ventures. Apply by Oct 20.
October 6, 2025 at 8:46 AM
It’s about growth, collaboration, and the chance to give back by lifting others.
Two flagship opportunities are now open:
🔷 Activator 2026
— our equity-free accelerator equipping scientific founders with the tools to launch biotech ventures. Apply by Oct 20.
Two flagship opportunities are now open:
🔷 Activator 2026
— our equity-free accelerator equipping scientific founders with the tools to launch biotech ventures. Apply by Oct 20.
Of course, but you first need the info. Right now it is like driving a car blindfolded...
July 24, 2025 at 2:06 PM
Of course, but you first need the info. Right now it is like driving a car blindfolded...
We then spend hundreds of billions treating what could have been avoided.
Why aren’t we doing this by default?
2/2
Why aren’t we doing this by default?
2/2
July 24, 2025 at 11:44 AM
We then spend hundreds of billions treating what could have been avoided.
Why aren’t we doing this by default?
2/2
Why aren’t we doing this by default?
2/2
Lots of work remain: (1) We only show this ability on protein→cells. (2) We haven’t used other fine tuning methods than adapter layers for now.
I would love to talk about these ideas with people and will be at ICML in Vancouver and ISMB/ECCB in Liverpool! ✈️
I would love to talk about these ideas with people and will be at ICML in Vancouver and ISMB/ECCB in Liverpool! ✈️
June 20, 2025 at 9:07 AM
Lots of work remain: (1) We only show this ability on protein→cells. (2) We haven’t used other fine tuning methods than adapter layers for now.
I would love to talk about these ideas with people and will be at ICML in Vancouver and ISMB/ECCB in Liverpool! ✈️
I would love to talk about these ideas with people and will be at ICML in Vancouver and ISMB/ECCB in Liverpool! ✈️
We show that this helps the models learn faster, achieve better results on many test metrics and create better representations.
This is an early proof of concept toward this grand goal of modeling life across scales.
This is an early proof of concept toward this grand goal of modeling life across scales.
June 20, 2025 at 9:06 AM
We show that this helps the models learn faster, achieve better results on many test metrics and create better representations.
This is an early proof of concept toward this grand goal of modeling life across scales.
This is an early proof of concept toward this grand goal of modeling life across scales.
By using common fine-tuning mechanism we show how one can train from one scale to the next by back-propagating signal to the compressed tokens and lower scale model.
June 20, 2025 at 9:06 AM
By using common fine-tuning mechanism we show how one can train from one scale to the next by back-propagating signal to the compressed tokens and lower scale model.
By using cross attention and an auto-encoding mechanism we present XPressor, a framework that creates compressed tokens from a scale (e.g. proteins) that can be used as inputs tokens by the scale above (e.g. cells)
June 20, 2025 at 9:06 AM
By using cross attention and an auto-encoding mechanism we present XPressor, a framework that creates compressed tokens from a scale (e.g. proteins) that can be used as inputs tokens by the scale above (e.g. cells)
Each group of biologist are on their own niche and so too are the models. But These models talk about different steps of the same stair.
We present ideas on how we might end up training models from atoms to organs by using transformers to compress 🔺 🔻 data into tokens used by larger scale models
We present ideas on how we might end up training models from atoms to organs by using transformers to compress 🔺 🔻 data into tokens used by larger scale models
June 20, 2025 at 9:06 AM
Each group of biologist are on their own niche and so too are the models. But These models talk about different steps of the same stair.
We present ideas on how we might end up training models from atoms to organs by using transformers to compress 🔺 🔻 data into tokens used by larger scale models
We present ideas on how we might end up training models from atoms to organs by using transformers to compress 🔺 🔻 data into tokens used by larger scale models
Read more about scPRINT in our Nature Communications paper: www.nature.com/artic... 👓
I will be at ICML and ISMB/ECCB this year to chat about upcoming upgrades and AI in Biology! ✈️
I will be at ICML and ISMB/ECCB this year to chat about upcoming upgrades and AI in Biology! ✈️
scPRINT: pre-training on 50 million cells allows robust gene network predictions
Nature Communications - Authors present a state-of-the-art cell foundation model trained on 50 million cells. They show that the model generates a meaningful gene network and has zero-shot...
www.nature.com
June 17, 2025 at 9:06 PM
Read more about scPRINT in our Nature Communications paper: www.nature.com/artic... 👓
I will be at ICML and ISMB/ECCB this year to chat about upcoming upgrades and AI in Biology! ✈️
I will be at ICML and ISMB/ECCB this year to chat about upcoming upgrades and AI in Biology! ✈️