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{ | |
"basics": { | |
"name": "Eliseo Papa", | |
"label": "Director AI Engineering at AstraZeneca", | |
"picture": "", | |
"email": "[email protected]", | |
"phone": "", | |
"website": "", | |
"summary": "I trained as a biomedical engineer and then as a clinician. Now I use my background to connect the dots between medicine and engineering. I work on building AI and data science product that can speed up the drug development process and bring medicines in the hands of patients faster.", | |
"location": { | |
"countryCode": "US", | |
"address": "" | |
}, | |
"profiles": [ | |
{ | |
"network": "LinkedIn", | |
"username": "eliseopapa", | |
"url": "https://www.linkedin.com/in/eliseopapa/" | |
} | |
] | |
}, | |
"work": [ | |
{ | |
"company": "AstraZeneca", | |
"highlights": [], | |
"position": "Director AI Engineering", | |
"startDate": "2020-10-31", | |
"summary": "- scaling up teams and practices\n- empowering teams to take ownership and created tech leads role\n- goals and strategy setting, including roadmap design with stakeholders\n- technical review (PRs and product design reviews)\n- own the publication strategy (blogs and academic)\n- lectured in the Mphil Biotech course at Cambridge University", | |
"website": "https://www.linkedin.com/company/astrazeneca/" | |
}, | |
{ | |
"company": "AstraZeneca", | |
"endDate": "2020-10-31", | |
"highlights": [], | |
"position": "AI & Data Science Lead", | |
"startDate": "2018-10-31", | |
"summary": "I was hired to build a Data Science team focussed on building and exploiting knowledge graphs for target recommendations. Our aim is to make the job of the drug discovery scientist faster and more successful using AI/Machine learning and robust data science tools. \nJoining a large corporation, it was imperative to build the right \"maker\" culture where the team could be given the autonomy to start small, build things fast and scale them. In less than six months, I rewrote the interview process, established new ways of working and directly contributed code to new projects. The team is now more than 15 people, regularly releasing the results of machine learning pipeline for the use of our scientists and participating in pipeline decisions. I learned a lot: from how to train NLP transformer models to interviewing effectively, managing data science projects in an applied research setting and run projects at scale.", | |
"website": "https://www.linkedin.com/company/astrazeneca/" | |
}, | |
{ | |
"company": "Biogen", | |
"endDate": "2018-10-31", | |
"highlights": [], | |
"position": "Senior Data Scientist", | |
"startDate": "2017-02-28", | |
"website": "https://www.linkedin.com/company/biogen-/" | |
}, | |
{ | |
"company": "Biogen", | |
"endDate": "2017-02-28", | |
"highlights": [], | |
"position": "Digital Health Technology & Data Science", | |
"startDate": "2016-02-28", | |
"website": "https://www.linkedin.com/company/biogen-/" | |
}, | |
{ | |
"company": "Open Targets", | |
"endDate": "2018-10-31", | |
"highlights": [], | |
"position": "Data Science Biogen Lead", | |
"startDate": "2016-02-28", | |
"website": "https://www.linkedin.com/company/open-targets/" | |
}, | |
{ | |
"company": "Finch Therapeutics Group", | |
"endDate": "2016-02-28", | |
"highlights": [], | |
"position": "Computational Biologist", | |
"startDate": "2015-11-30", | |
"summary": "Finch therapeutics is a startup focussed on the early discovery of microbiome therapeutics. \n- Analysis of OpenBiome trial data\n- Safety profiling of candidate microbiome therapeutics leveraging shotgun metagenomic data\n- System administration (AWS using ansible, elasticluster)", | |
"website": "https://www.linkedin.com/company/finch-therapeutics/" | |
}, | |
{ | |
"company": "UM.AI", | |
"endDate": "2016-01-31", | |
"highlights": [], | |
"position": "Co Founder", | |
"startDate": "2015-04-30", | |
"summary": "Applying semantic technology, NLP and machine learning to optimize nutrition. All in a mobile app.\n\n- Integration of multiple data sources of nutritional values, ingredient lists, menus, etc.\n- NLP interpretation of user input\n- Recipes recommendation engine", | |
"website": "https://www.linkedin.com/company/um-ai/" | |
}, | |
{ | |
"company": "Klappo Ltd", | |
"endDate": "2015-04-30", | |
"highlights": [], | |
"position": "Chief Scientific Officer", | |
"startDate": "2014-10-31", | |
"summary": "Building the largest food and nutrition knowledge base using semantic technology\n\n- curation of scientific content\n- management of science team and establishment of scientific collaborations\n- machine learning applied to the automatic curation of the largest food/nutrition ontology in the market\n- natural language processing (word2vec, LSA)\n- product design\n- series A fundraising", | |
"website": "https://www.linkedin.com/company/klappo-ltd/" | |
}, | |
{ | |
"company": "Imperial College Healthcare NHS Trust", | |
"endDate": "2014-10-31", | |
"highlights": [], | |
"position": "Doctor", | |
"startDate": "2013-08-31", | |
"summary": "Junior doctor responsible for the daily care of patients within:\n- Care of the elderly service\n- ITU / Anaesthesia department\n- Gastroenterology", | |
"website": "https://www.linkedin.com/company/imperial-college-healthcare-nhs-trust/" | |
}, | |
{ | |
"company": "Imperial College London", | |
"endDate": "2013-12-31", | |
"highlights": [], | |
"position": "Visiting Researcher", | |
"startDate": "2013-03-31", | |
"website": "https://www.linkedin.com/school/imperial-college-london/" | |
}, | |
{ | |
"company": "Seres Health", | |
"endDate": "2012-10-31", | |
"highlights": [], | |
"position": "Consultant", | |
"startDate": "2011-10-31", | |
"summary": "Seres Therapeutics is a clinical-stage therapeutics company focused on discovering and developing drugs to treat diseases of the microbiome.\n\nConsulted on:\n- data analysis on pilot trials \n- early product design\n\nStack: Python, AWS, R, Qiime", | |
"website": "https://www.linkedin.com/company/seres-tx/" | |
}, | |
{ | |
"company": "Harvard/MIT Health Science & Technology Institute", | |
"endDate": "2012-06-30", | |
"highlights": [], | |
"position": "Graduate researcher", | |
"startDate": "2009-06-30", | |
"website": "https://www.linkedin.com/school/mit/" | |
}, | |
{ | |
"company": "Enumeral biomedical", | |
"endDate": "2009-02-28", | |
"highlights": [], | |
"position": "Co-founder", | |
"startDate": "2007-09-30", | |
"website": "" | |
}, | |
{ | |
"company": "Whitehead Institute, MIT", | |
"endDate": "2009-12-31", | |
"highlights": [], | |
"position": "Graduate researcher", | |
"startDate": "2007-12-31", | |
"website": "https://www.linkedin.com/company/whitehead-institute/" | |
}, | |
{ | |
"company": "University of Toronto", | |
"endDate": "2005-12-31", | |
"highlights": [], | |
"position": "Undergraduate researcher", | |
"startDate": "2004-12-31", | |
"summary": "Integrated nanotechnology and biomedical sciences laboratory. Prof. Warren Chan.", | |
"website": "https://www.linkedin.com/school/university-of-toronto/" | |
}, | |
{ | |
"company": "Politecnico di Milano", | |
"endDate": "2003-12-31", | |
"highlights": [], | |
"position": "Undergraduate researcher", | |
"startDate": "2003-12-31", | |
"summary": "Biomaterial laboratory. Prof. M.C. Tanzi.", | |
"website": "https://www.linkedin.com/school/polimi/" | |
}, | |
{ | |
"company": "Ital Engineering s.a.s.", | |
"endDate": "2002-12-31", | |
"highlights": [], | |
"position": "IT consultant & System administrator", | |
"startDate": "2000-12-31", | |
"website": "" | |
} | |
], | |
"volunteer": [ | |
{ | |
"organization": "Fondazione San Raffaele", | |
"position": "Field operative - AISPO Uganda", | |
"website": "https://www.linkedin.com/company/6878845", | |
"startDate": "2005-03-31", | |
"endDate": "2005-03-31", | |
"summary": "Streamlined diagnostic routines -- Kampala’s Hospital & Gulu’s outpost, Uganda\nConsulted regarding the infrastructure, human resources and logistics of the Kampala’s hospital\n", | |
"highlights": [] | |
} | |
], | |
"education": [ | |
{ | |
"institution": "Harvard Medical School", | |
"area": "Medical Engineering and Medical Physics", | |
"studyType": "Doctor of Philosophy (Ph.D.)", | |
"startDate": "2006-12-31", | |
"endDate": "2012-12-31", | |
"gpa": "", | |
"courses": [] | |
}, | |
{ | |
"institution": "Massachusetts Institute of Technology", | |
"area": "Mechanical Engineering", | |
"studyType": "Master of Science (MS)", | |
"startDate": "2006-12-31", | |
"endDate": "2008-12-31", | |
"gpa": "", | |
"courses": [] | |
}, | |
{ | |
"institution": "Imperial College London", | |
"area": "", | |
"studyType": "Bachelor of Medicine, Bachelor of Surgery (MBBS)", | |
"startDate": "2009-12-31", | |
"endDate": "2013-12-31", | |
"gpa": "", | |
"courses": [] | |
}, | |
{ | |
"institution": "University of Toronto", | |
"area": "Engineering Science", | |
"studyType": "Bachelor of Applied Science (B.A.Sc.)", | |
"startDate": "2001-12-31", | |
"endDate": "2005-12-31", | |
"gpa": "", | |
"courses": [] | |
}, | |
{ | |
"institution": "Massachusetts Institute of Technology", | |
"area": "Health Science & Technology - Medical Engineering & Medical Physics", | |
"studyType": "Ph.D", | |
"startDate": "2006-12-31", | |
"endDate": "2012-12-31", | |
"gpa": "", | |
"courses": [] | |
} | |
], | |
"awards": [ | |
{ | |
"title": "NSERC Postgraduate doctoral scholarship", | |
"date": "2010-06-30", | |
"awarder": "National Science & Engineeric Research Council of Canada", | |
"summary": "" | |
}, | |
{ | |
"title": "Martha Gray Prize for Excellence in Research", | |
"date": "2008-12-31", | |
"awarder": "Harvard/MIT Health Science & Technology Institute", | |
"summary": "" | |
}, | |
{ | |
"title": "Poitras pre-doctoral fellowship", | |
"date": "2008-12-31", | |
"awarder": "MIT", | |
"summary": "" | |
}, | |
{ | |
"title": "Semifinalist MIT 100k competition", | |
"date": "2008-12-31", | |
"awarder": "MIT", | |
"summary": "" | |
}, | |
{ | |
"title": "Martino scholar", | |
"date": "2007-12-31", | |
"awarder": "Harvard/MIT Health Science & Technology Institute", | |
"summary": "" | |
}, | |
{ | |
"title": "Canadian Army University Course Undergrad Scholarship", | |
"date": "2005-12-31", | |
"awarder": "University of Toronto", | |
"summary": "" | |
}, | |
{ | |
"title": "NSERC Postgraduate M Scholarship", | |
"date": "2005-12-31", | |
"awarder": "National Science and Engineering Research Council of Canada", | |
"summary": "" | |
}, | |
{ | |
"title": "NSERC Summer Research Award", | |
"date": "2004-12-31", | |
"awarder": "National Science and Engineering Research Council of Canada", | |
"summary": "" | |
}, | |
{ | |
"title": "University of Toronto Life Sciences Award", | |
"date": "2004-12-31", | |
"awarder": "University of Toronto", | |
"summary": "" | |
} | |
], | |
"publications": [], | |
"skills": [ | |
{ | |
"name": "Biomedical Engineering", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Data Analysis", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Computational Biology", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Medicine", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Imperial College London", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Whitehead Institute", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Biomaterials", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Big Data", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Programming", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Scientific Data Management", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Lifesciences", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Computational Genomics", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Cell Culture", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Data Visualization", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Machine Learning", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Confocal Microscopy", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "data mining", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Biochemistry", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Bioinformatics", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Microbial Ecology", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Microscopy", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Nanotechnology", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Team Management", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Python", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Molecular Biology", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Microfabrication", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Technical Recruiting", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Website Development", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Github", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Immunology", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Python (Programming Language)", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Healthcare", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Drug Discovery", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Data Science", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Science", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "d3.js", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "R", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Cloud Computing", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Life Sciences", | |
"level": "", | |
"keywords": [] | |
}, | |
{ | |
"name": "Research and Development (R&D)", | |
"level": "", | |
"keywords": [] | |
} | |
], | |
"languages": [ | |
{ | |
"language": "en", | |
"fluency": "Native Speaker" | |
} | |
], | |
"interests": [], | |
"references": [ | |
{ | |
"name": "Andrea Pierleoni", | |
"reference": "I had the pleasure to work side by side with Eliseo for a couple of years at Open Targets. He has a unique blend of knowledge and experience spanning from advanced machine learning, deep biomedical expertise and a keen eye on the business side. \nEliseo is the kind of guy that will have the vision for novel solutions to hard problems and serially transform them into efficiently implemented tools. He also has the flexibility and soft skills to work well both in a small development team and a large corporation. " | |
} | |
] | |
} |
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