Serdar Bozdag

Please RT. Very excited to announce our faculty positions in the Department of CSE at UNT, a Carnegie R1 university. We consider candidates in bioinformatics, AI/ML, autonomous systems and computer architecture. To apply: careers.untsystem.edu/jobs/assistant… and careers.untsystem.edu/jobs/assistant…

Excited to co-organize the 5th HPC-BOD with @Prof_FahadSaeed . This year's workshop will be online in conjunction with IEEE BigData 2024. Papers and extended abstracts are due on Oct 15th. Check out hpcbod.cs.fiu.edu for more information. Please RT.

Very excited to attend #AAIC24 by @alzassociation to share our latest work on Alzheimer's Disease. My group will present four posters on utilization of AI/ML for AD diagnosis. If you're attending, let's meet up!

Closing keynote by ⁦@suinleelab⁩ at #ISMB2024 is about to start.

Delivering a full paper content in a 10-minute presentation.

Thrilled to announce that our paper got accepted to ISMB 2024 proceedings! We developed a deep learning model to analyze EHR data using time embedding and dual attention to predict future clinical outcomes. Pre-print arxiv.org/abs/2401.14694 Code: github.com/bozdaglab/TA-R…

We have several T/TT faculty positions here at UNT in multiple areas including bioinformatics. To apply: lnkd.in/gkZaVDhZ Please spread the word.

Super excited to share our latest preprint: Integrative GCN to integrate multi-modal graph-structured data. We have outperformed several machine learning models for node classification tasks. Paper: arxiv.org/pdf/2401.17612… Code: github.com/bozdaglab/IGCN

Very excited to share our new preprint on a deep learning architecture to process electronic health records. We utilize time embedding and dual-attention layers that improves model accuracy and interpretability. Paper: arxiv.org/abs/2401.14694 Source code: github.com/bozdaglab/TA-R…

Excited to share a comprehensive review paper on network biology. Honored to be part of this project. Special thanks to @ProfMilenkovic and @marinkazitnik !. arxiv.org/abs/2309.08478

Very excited to join amazing speakers like @geochurch, @GeneMyers to speak to the Festival of Genomics and BioData in Boston! Looking forward to it!

I look forward to it!

Our review+perspective paper on "Current and future directions in network biology" is online (arxiv.org/abs/2309.08478). This has been a Herculean effort by many co-authors, thank you all! Special thanks to @marinkazitnik, @_michellemli, @aydin_wells, and all section coordinators.

Block the dates July 12-16 2024 | ISMB in #Montréal (#Quebec #Canada) | The International Conference on Intelligent Systems for Molecular Biology (ISMB) | #bioinformatics #ComputationalBiology #ISMB2024 | iscb.org/ismb2024

Super excited to share this postdoc opportunity in our lab. We work on NIH-funded projects on developing machine learning/deep learning methods on large biomedical datasets. UNT is a R1 university in the vibrant Dallas-Fort Worth Metroplex. RT please! jobs.untsystem.edu/postings/76179

Nice tips to utilize ChatGPT for research and productivity. the article is bioinformatics-focused, but most tips apply to many other fields. journals.plos.org/ploscompbiol/a…

@tuncadogan It was a very nice presentation. Very solid work. Congrats!

Lastly, Serbülent’s work was presented (by me) yesterday in the Function COSI session #ISMBECCB2023

In your application letter for #PhD / postdoc, NEVER ever say: "Hi prof" "Hello" "Dear Professor" "Greetings of the day" If you do, your email will be immediately deleted by 99% of professors. ▫️ Only start your applications with “Dear Prof. [second_name],” And don’t describe how good you are. Explain how valuable you are. ▫️ [Professionalism] + [Value] can go a long way. Good luck. #phdchat #AcademicChatter

Our ISMB/ECCB 2023 paper on early prediction of Alzheimer's disease is now available in Bioinformatics. academic.oup.com/bioinformatics…

Very excited to share that our paper, SUPREME is now published at NAR Genomics and Bioinformatics. We propose an architecture to learn node embeddings from multi-layered networks for node classification. academic.oup.com/nargab/article…