
Previously PhD student at @steinaerts lab and Research Scientist Intern at @GoogleDeepMind. Interested in genomics and ai
Leuven, Belgium
Joined April 2010
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Exciting news! Our latest research on "Cell type directed design of synthetic enhancers" has been published in @Nature. We've harnessed deep learning to design enhancers with cell-type specificity. Find our paper here: nature.com/articles/s41586-0…. Highlights below: [1/n]
Ibrahim I. Taskiran retweeted
I'm sure you've all been keenly awaiting the lineup for the @UKDRI #neurogenomics seminars in 2024, so here it is 🥳🧠🧬
Excited to be kicking off the new season tomorrow with @ibrahimihsan from @steinaerts lab. Anyone interested is welcome to join, just DM me for the link.
Ibrahim I. Taskiran retweeted
Very happy to see my final PhD paper on designing synthetic enhancers for selected tissues in vivo using #AI out in @Nature 🥳
Big thanks to @AlexanderStark8 and whole @stark_lab , as well as collaborators in @Eileen_Furlong lab!
Check out our thread below for more details 👇
We are very excited to present a major breakthrough achievement – the de novo design of synthetic enhancers for selected tissues in fruit fly embryos in vivo using deep- and transfer learning, @deAlmeida_BPet al published today in @Nature nature.com/articles/s41586-0…. Thread 👇(1/N)
We showed that genomic enhancers, as well as random DNA sequences, harbour many single mutations that create repressor binding sites. [8/n]
Our paper is published alongside a complementary study by @AlexanderStark8, @Eileen_Furlong, and their team. Make sure to read their great work as well: nature.com/articles/s41586-0…. [13/n]
Our research underscores the critical role of repressor binding site elimination. Introducing repressors into active enhancers (without disrupting activator binding sites) destroys the activity of enhancers. [7/n]
Utilising a genomic enhancer, we incorporated an additional regulatory code to expand its expression profile to another cell type, demonstrating the versatility of enhancer elements. [4/n]
Reciprocally, we demonstrated that the code of a second cell-type can be deleted from an enhancer that is active in multiple cell-types to restrict its spatial activity. [5/n]
Starting from the same random DNA sequence, we could evolve it into different cell type-specific enhancers by directing the mutation selection. [3/n]
Our findings reveal that only a small number of targeted mutations are needed to transform random sequences or inactive genomic regions into enhancers that drive specific cell-type activities. [2/n]
I’m more than honored to have received one of the best talk awards! It was a very inspiring meeting and I had the chance to meet many beautiful minds :)
Congratulations to the joint winners of the @ISCB_RegSys best abstract presentation award at #ISMBECCB2023: Ibrahim Ihsan Taskiran (KU Leuven) and Jacob Schreiber @jmschreiber91 (Stanford)!
Are you at #ISMBECCB2023? Wanna hear about designing cell type specific enhancers guided by deep learning models? Visit my poster today (B-346) and my talk tomorrow (17h20) at @ISCB_RegSys COSI!
📢 Join me at ISMB/ECCB 2023 in Lyon from July 23-27!
I'm very excited to be a speaker at @ISCB_RegSys track where I'll be sharing our recent work on synthetic enhancer design!
Ping me if you'd like to meet! See you there! 🌍
invt.io/1txbi3rpxmt
#ISMBECCB2023 @iscb
It was a great 4 days with lots of mind-opening talks! Met many brilliant and kind scientists as well :). Thanks for organizing such conference and for the poster prize!
We can't believe #EESBrainGenome is already over! 😭 Our participants were sent off with closing remarks from Matthieu Boulard (EMBL Rome) - and of course we announced the best poster prizes too! Congrats to all winners and presenters 👏🏾🏆
See you next time? 🧠🔍
@ibrahimihsan




















