I am a dedicated researcher with a strong background in NLP, Machine Learning, and Large Language Models, aiming to contribute to cutting-edge advancements in AI for healthcare. My focus lies in developing interpretable, temporal, and causality-aware transformer models for early Alzheimer’s detection using longitudinal EHR data. With a portfolio of peer-reviewed publications and expertise in transformer fine-tuning, I seek a research-intensive position or postdoctoral opportunity where I can apply and expand my work at the intersection of clinical AI and cognitive health diagnostics.
I possess over 5 years of experience in developing and deploying ML and NLP systems, applying techniques for successful outcomes, and have proficiency in Python and related libraries. I hold a Ph.D. in Computer Science specializing in NLP and Machine Learning, and have held academic and industry roles including machine learning engineering and lecturing at universities. I am proactive in keeping updated with latest advancements and have excellent written and verbal communication skills.
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