Syed Daniyal
@syeddaniyal1
I'm a computer science researcher building deep learning systems for climate modeling and medical imaging.
What I'm looking for
I'm researching climate-data super-resolution at LUMS with Dr. Zubair Khalid, where I implemented and trained BLISSNet in PyTorch and built an ERA5 data pipeline for regional surface-temperature reconstruction. My cross-region evaluation found strong in-domain performance but transfer degradation tied to SIREN coordinate-domain dependence, informing the model's next iteration.
I also built ARIA, a neuro-symbolic radiology report-generation pipeline combining SegResNet, radiomics, Neo4j clinical rules, and constrained LLM generation. Using DeepSeek-R1, the system achieved a 0.718 GREEN score, improving accuracy by 105.1% and reducing hallucinations by 66.2% against the strongest unconstrained VLM baseline.
Experience
Work history, roles, and key accomplishments
Undergraduate Research Assistant
Lahore University of Management Sciences (LUMS)
Jun 2026 - Present (2 months)
Researching super-resolution of spatiotemporal climate data, focusing on reconstructing high-resolution surface temperature fields from sparse observations. Implemented and trained BLISSNet, a DeepONet-style neural operator, and evaluated cross-region generalization.
Education
Degrees, certifications, and relevant coursework
Lahore University of Management Sciences (LUMS)
Bachelor of Science, Computer Science
Pursuing a B.S. in Computer Science with a specialization in Artificial Intelligence and a minor in Robotics, expected to graduate in 2028.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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