Serdar Bozdag
@bozdags
Followers
632
Following
1K
Media
75
Statuses
718
Founding Director of CCLS. Assoc. Prof of CSE and Math at UNT. #bioinformatics #network_biology #machine_learning #multiomics. @ISCB Senior Fellow.
Denton, TX
Joined December 2009
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: https://t.co/5rCVp7VMLc and https://t.co/9ywR1aX70V
0
1
4
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 https://t.co/85EBposGhd for more information. Please RT.
0
1
0
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!
0
0
0
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 https://t.co/Ds1vSahdaN Code: https://t.co/aqyO0YCtR8
0
0
5
We have several T/TT faculty positions here at UNT in multiple areas including bioinformatics. To apply: https://t.co/1w2umuXLIs Please spread the word.
0
0
1
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: https://t.co/ZZCVRkcT8O Code: https://t.co/Pj6IZewxmG
0
0
3
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: https://t.co/Ds1vSahL0l Source code: https://t.co/aqyO0YD1GG
0
0
8
Excited to share a comprehensive review paper on network biology. Honored to be part of this project. Special thanks to @ProfMilenkovic and @marinkazitnik !. https://t.co/ISZ0XNt2da
0
0
4
Very excited to join amazing speakers like @geochurch, @GeneMyers to speak to the Festival of Genomics and BioData in Boston! Looking forward to it!
0
1
4
I look forward to it!
NEW SPEAKER ALERT! Our latest addition to the #FoGBoston speaker line-up is Serdar Bozdag, Associate Professor at the University of North Texas! @bozdags Register for your Festival ticket: https://t.co/VRqO7dgQCv See the full speaker lineup: https://t.co/k8CN1xG8AJ
0
0
0
Our review+perspective paper on "Current and future directions in network biology" is online ( https://t.co/CbgF5Wir5Z). This has been a Herculean effort by many co-authors, thank you all! Special thanks to @marinkazitnik, @_michellemli, @aydin_wells, and all section coordinators.
2
125
385
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 | https://t.co/xnq0lZvOwQ
1
6
10
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! https://t.co/IUD66Byjli
0
2
7
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
1
1
3
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
255
317
3K
Our ISMB/ECCB 2023 paper on early prediction of Alzheimer's disease is now available in Bioinformatics. https://t.co/uIufWBWCnB
0
0
2
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
Abstract. To pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. Utilizing hig
0
0
6
Come and join our group. I have a new postdoc opening for developing graph representation learning and machine learning methods to integrate massive biomedical and multi-omics datasets in NIH-funded projects. https://t.co/wW7vfe15TJ
#MachineLearning #Bioinformatics
0
5
5