Andrea Termine

Artificial Intelligence Guest Editor Remote

IJMS is an international, peer-reviewed, open access journal providing an advanced forum for biochemistry, molecular biophysic and molecular medicine. I supervise the peer-review process and take decisions on new submissions in the Artificial Intelligence in molecular medicine topic.

• Promoted the Artificial intelligence in molecular medicine topic at conferences, on social media and other relevant platforms.
• Helped IJMS reach 6.2 Impact Factor.
• Curated the Special Issue collection titled:"Biomedical Applications of Molecular Simulation and Machine Learning in Disease Modeling and Drug Repurposing".

Machine Learning Engineer

Mondo Convenienza is an Italian company that focuses on organized large-scale retail of furniture and home furnishings, providing the best quality-price ratio in the market and making home projects accessible to everyone. In my role, I am responsible for Supply Chain Machine Learning and MLOps. I develop and deploy machine learning models to optimize supply chain operations

Data Science Course Instructor Rome, Italy

UNINT is one of the world's leading distance learning universities and has won several international awards for the excellence of the E-Learning Platform from The European Association of Distance Teaching Universities (EADTU). I teach data science in the master's degree program in cognitive processes and technologies in neuroscience.

• Introduced version control and product deployment methods in the course.
• Supervised more than 40 students during the course.
• Established a repository of R exercises from data wrangling to supervised machine learning.

Genomic Data Scientist Rome, Italy

The National Virtual Dementia Institute is a core component of the Italian IRCCS Network of Neurosciences and Neurorehabilitation. The institute combines the most advanced IRCCS in the study and treatment of neurodegenerative diseases. In the bioinformatic unit, I manage omics big data and develop standardized diagnostic pipelines for whole exome sequencing, genome wide analysis, and RNA sequencing.

• Contributed to the standardization of the diagnostic pipeline for Parkinson's Disease.
• Contributed to define the schema of the database for omics data.
• Updated the diagnostic pipeline of a Institute Member to the GATK - Broad Institute standards.

Data Scientist Rome, Italy

The Santa Lucia Foundation of Rome is a Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) specialized in the fields of neuro-rehabilitation and neurosciences. Among the leading IRCCS in Italy, the foundation is ranked first in the neuroscience sector for total scientific productivity. In my job, I developed clinical decision support and computer-aided diagnosis software based on artificial intelligence.

• Published 30+ scientific articles on Artificial Intelligence in Neuroscience.
• Generated more than 10 H-index points with 290+ citations in two years.
• Built 2 Deep Learning computer-aided diagnosis softwares for neurological conditions based on 3D brain scan.
• Built 2 clinical decision support system for the diagnosis and treatment of neurological conditions based on genomic data.
• 2.63 scopus Topic Field-Weighted Citation Impact score in the Object Detection; Deep Learning; IOU section.

Genomic Data Scientist Rome, Italy

UILDM was founded in 1961 to promote scientific research and health information on dystrophies and other neuromuscular diseases. I worked as a genomic data scientist in the genetic medicine lab. My job was to develop an automated Next Generation Sequencing pipeline for genetic variant discovery. The variants are used in the diagnostic workflow for many neuromuscular diseases.

• Developed an automated python NGS pipeline for somatic short variant discovery and annotation.
• Aligned the diagnostic pipeline to the GATK - Broad Institute best practices.
• The pipeline works both on Illumina or Thermofisher devices and on whole exome sequencing data.

Data Scientist

DataKind is a nonprofit organization that brings together data scientists, social sector organizations, and communities to use data science in the service of humanity. They work to address some of the world's most pressing social issues by applying data science techniques to large-scale data sets in order to identify patterns, trends, and insights that can inform decision-making and drive positive change. They also provide training and resources to help social sector organizations effectively use data science in their work.