Adham A.
Postdoctoral Researcher — Protein Engineering
Experience
Apr 2025 - Present
8 monthsHonolulu, United States
Postdoctoral Researcher — Protein Engineering
University of Hawai‘i at Mānoa, Dept. of Molecular Biosciences & Bioengineering
- Engineered proteins using LLMs (e.g., ESM3) to generate autoprocessing protein (AP) variants with enhanced activity and stability.
- Designed and executed genetic/biochemical assays to probe the interplay between AP expression and cellular metabolism.
- Built conditional degron systems to improve induction reversibility and applied AP/degron systems in metabolic engineering contexts.
- Contributed to supervision of graduate students and preparation of manuscripts, reports, and research proposals.
Aug 2022 - Apr 2025
2 years 9 monthsBoston, United States
Postdoctoral Researcher — Medical Imaging & Computation
Harvard University / Massachusetts General Hospital, Radiology
- Built a scalable microbiome knowledge graph (MINERVA) to predict microbe–disease relationships; published in Briefings in Bioinformatics.
- Designed ARANet (Adaptive Resolution Attention Network) for MRI-based automated, reproducible quantification of amniotic fluid volume and fetal size.
- Developed deep learning pipelines for segmentation and volumetric quantification of extraocular muscles in Thyroid Eye Disease; benchmarked against expert measurements to derive robust clinical biomarkers.
- Implemented end-to-end automated workflows integrating data ingestion/curation, annotation, training/validation, and deployment for reproducible research.
- Drove cross-functional collaborations with radiologists, clinicians, and bioinformaticians to translate computational methods into biomedical studies.
May 2021 - Aug 2021
4 monthsBeijing, China
Biotechnology Intern
StoneWise Biotechnology
- Implemented cutting-edge drug–target interaction (DTI) algorithms for in silico screening.
- Gained hands-on exposure to industrial drug discovery processes and pipelines.
Summary
Computational biology and ML researcher with end-to-end experience building reproducible data and model pipelines across genomics, proteomics, medical imaging, and drug-target interaction modeling.
Skilled in translating research into practical biomedical applications, collaborating with clinicians and scientists, and delivering automated workflows from data ingestion and curation to model training, validation, and deployment.
Languages
English
AdvancedEducation
Beijing Institute of Technology
Ph.D. · Chemical Engineering and Technology · Beijing, China
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