Hi, I'm Nabil

 I am a 4th-year Computer Science PhD student at Purdue University, with expertise and a strong interest in applying deep learning to problems in bioinformatics and biomedical engineering.  

Currently, I am focused on developing biologically meaningful representation learning for a variety of applications. My research primarily involves adapting language models for protein function and structure prediction, along with exploring broader applications of natural language processing (NLP) and data mining in bioinformatics. 

Before this, I worked extensively in biomedical imaging and signal processing. During my Master's program, I worked with ECG, PPG, and Raman spectra. Notably, my work on improving the U-Net architecture, titled MultiResUNet gained significant recognition.  

Since childhood, I have been deeply fascinated by smartphones and smart technologies. I was fortunate to pursue this passion while working at Samsung Research, where I contributed to innovative projects involving smartphone camera and sensor data for health applications, which led to patents. I also had the opportunity to spend two summers at Futurewei Technologies (the U.S. subsidiary of Huawei), where I worked on multimodal learning, vision transformers, and their applications to ECG signal analysis. 

 Outside of academics, I have a deep love for music and video games. I am also incredibly grateful for the joy of sharing my life with my greatest blessing, Suraia Yasmin.