Ercument Cicek
@crashius
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Computer Scientist, Computational Biologist, Assoc. Prof. at Bilkent University @BilkentUniv & Adj. Faculty at @CarnegieMellon @CMUCompbio 🦋@crashius
Joined July 2011
Yanlış Mentor
Bir Shaolin rahibinin öğrencisine verdiği denge ve dayanıklılık eğitimi:
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RT @muhayyileli: Our latest paper, "Privacy-Preserving Hyperparameter Tuning for Federated Learning," is now published at IEEE Transactions…
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RT @AndrewYNg: Writing software, especially prototypes, is becoming cheaper. This will lead to increased demand for people who can decide w…
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RT @RECOMBconf: 🚨 UPCOMING DEADLINES 🚨 ⭐️Highlights: January 27, 2025 📋Posters: January 27, 2025 RECOMB-Seq: January 24 (abstracts) RECOM…
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Here, we propose the first reinforcement learning-based defense that can adapt in real time to distinguish between legitimate users and potential attackers to enhance privacy & utility. Joint work with @aghdam_masoud, @keremayoz, Sobhan Shukueian Tabrizi, @eayday & @muhayyileli.
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RT @nickmmark: 15 million people trusted 23&me with their DNA. Now the company is almost bankrupt, the stock about to be delisted, and almo…
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RT @CS_Bilkent: We also aim to hire instructors and seek candidates for the available positions. Instructor duties mainly include teaching…
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RT @CS_Bilkent: Computer Engineering Department at Bilkent University aims to hire multiple new faculty members at Assistant, Associate, an…
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CICEKLAB’s latest graduate is @sinabr01. He lead multiple projects related to genAI, language models and biological sequences. He is now going to seek a Ph.D. Degree at @CarnegieMellon PS. @CMUCompBio enrolled 20 Ph.D. students this year and 2 are from our lab. What is the pval?
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Latest MS graduate from the lab is @gunkaynar! He coauthored 3 papers @OUPBioinfo and @NatureComms during his time at CICEKLAB and is now moving on to @CarnegieMellon to seek a PHD degree.
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Check out our new paper👇🎉
New paper with @crashius and @hllibrhmkuru "From cell lines to cancer patients: personalized drug synergy prediction." We present a model for predicting personalized drug synergy prediction when only patient's single drug response data is available.
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