Cédric Arisdakessian
About Cédric Arisdakessian
Cédric Arisdakessian is a Data Scientist with a PhD in Bioinformatics from the University of Hawaii at Manoa. He has extensive experience in data analysis and computational pipeline development, having worked at various research institutions and companies in the United States and France.
Current Position at ROME Therapeutics
Cédric Arisdakessian currently works as a Data Scientist at ROME Therapeutics in Boston, Massachusetts, United States. He has been in this role since 2022. His responsibilities include developing computational pipelines and streamlining data analysis processes, particularly in high-throughput sequencing data analysis.
Education and Expertise
Cédric Arisdakessian holds a Doctor of Philosophy (PhD) in Bioinformatics from the University of Hawaii at Manoa, where he studied from 2017 to 2022. He also completed a Master's degree in Bioinformatics, Biostatistics, Biomathematics, and Public Health at Université Claude Bernard Lyon 1 in 2016. Additionally, he earned a Master of Engineering (MEng) from Ecole centrale de Lyon in 2016 and completed the HMX Fundamentals/Pro online certificate program in Drug Discovery and Development at Harvard Medical School in 2023.
Research and Internship Experience
Cédric Arisdakessian has gained extensive research and internship experience throughout his career. He worked as a Graduate Research Assistant at the University of Hawaii at Manoa and the University of Hawaii Cancer Center. His internships include positions as a Signal Processing Engineer at ENSTA Bretagne, Scripps Institution of Oceanography, and CEA - Commissariat à l'énergie atomique et aux énergies alternatives. He also served as a Consultant at Schneider Electric and as a Bioinformatics Engineer at Sanofi Pasteur.
Technical Skills and Projects
Cédric Arisdakessian specializes in high-throughput sequencing data analysis and has experience in high-performance computing environments. He has developed computational pipelines using Nextflow on Google Cloud Platform for biomarker discovery. Additionally, he has created applications using Streamlit and Shiny for enhanced database visualization and designed BigQuery databases for efficient data management and retrieval.
Teaching and Mentorship Roles
In 2022, Cédric Arisdakessian served as a Teaching Assistant at AI4ALL and previously held a similar role at the University of Hawaii at Manoa in 2021. These positions involved mentoring students and assisting in educational programs focused on artificial intelligence and data science.