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AbzuHead of Bioinformatics, Target & Biomarker Discovery
Nov. 2022Copenaghen, Regione della Capitale, DanimarcaDefined and executed Abzu's strategy for target and biomarker discovery, leading a dedicated multi-disciplinary team.
Spearheaded the implementation of innovative tools and services to advance disease understanding.
Applied data science and AI (xAI) in impactful bioinformatics projects, including target identification, biomarker discovery, and genomic medicine for big pharmaceutical companies, biotech, SMEs, hospitals, and academia. Played a key role in business development, strategically positioning Abzu as a prominent entity in the pharmaceutical industry.
Supervised and mentored Master's and Ph.D. students, fostering their growth within the organization and for their careers.
AbzuScientific Development Lead - Bioinformatics and Machine Learning Specialist
Apr. 2022 - Nov. 2022Copenhagen, Capital Region, DenmarkLed a multi-disciplinary team while implementing business development strategies to position Abzu within the pharmaceutical industry.
Developed features for the QLattice and directed its application in bioinformatics projects.
Contributed significantly to target identification, biomarker discovery, and genomic medicine.
Supervised Master's and Ph.D. students, providing mentorship and guidance.
Aug. 2021 - Apr. 2022Copenhagen, Capital Region, DenmarkEngaged in pivotal bioinformatics projects focusing on target identification, biomarker discovery, and genomic medicine.
GenetooMember of the Scientific Advisory Board (AI)
May. 2020Advised and led the AI department, leveraging machine learning algorithms to optimize laser parameters.
Contributed to enhancing understanding of bacterial attachment and proliferation on diverse surfaces and materials through dataset curation and maintenance.
Københavns Universitet - University of CopenhagenPostdoctoral Researcher
Oct. 2019 - Apr. 2022Copenhagen Area, Capital Region, DenmarkConducted advanced computational modeling of genetic variants, emphasizing their impact on transcriptional regulation.
Developed and implemented machine and deep learning methods using diverse high-throughput sequencing data, including a transfer learning method.
Supervised Master's and Ph.D. students, and taught a course for the Master's degree in Bioinformatics.
Science for Life Laboratory-Stockholm UniversityBioinformatics Internship Student
Jan. 2014 - Jun. 2014Stoccolma, SveziaImplemented an integrated MySQL database for splice isoform analysis.
Conducted data collection and cleaning from various public sources using web scraping techniques.