Leonardo Rodrigues
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Leonardo Rodrigues Email & Phone Number

Vice President, Machine Learning and Computational Biology at Prologue Medicines
Location: Greater Boston, United States 10 work roles 2 schools
1 work email found @berghealth.com 2 phones found area 617 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email l****@berghealth.com
Direct phone (617) ***-****
LinkedIn Profile matched
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Current company
Role
Vice President, Machine Learning and Computational Biology
Location
Greater Boston, United States

Who is Leonardo Rodrigues? Overview

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Quick answer

Leonardo Rodrigues is listed as Vice President, Machine Learning and Computational Biology at Prologue Medicines, based in Greater Boston, United States. AeroLeads shows a work email signal at berghealth.com, phone signal with area code 617, and a matched LinkedIn profile for Leonardo Rodrigues.

Leonardo Rodrigues previously worked as Head of Bioinformatics, Data, Software & Pipeline Engineering at Sanofi and Vice President, AI & Machine Learning at Olaris, Inc. Leonardo Rodrigues holds Ph.D., Biochemistry, Molecular And Cell Biology, Bioinformatics from Usp - Universidade De São Paulo.

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Email format at Prologue Medicines

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{first}.{last}@berghealth.com
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Profile bio

About Leonardo Rodrigues

As a manager and executive, I am experienced in leading machine learning and AI projects to support R&D and clinical transformations. My broad knowledge of project and program management allows me to pivot easily to develop and discuss plans across all organizational levels and make informed decisions. I am a dynamic, customer-centric problem solver. My solid communication skills are beneficial in growing relationships with stakeholders and building strong cross-functional teams. Cultivating partnerships is one of my key talents. I can bring my compliance management skills and ability to influence decision making together with my drive for efficiency to successfully complete projects on time and within budget.

Listed skills include Molecular Biology, Cell Biology, Cell, Bioinformatics, and 34 others.

Current workplace

Leonardo Rodrigues's current company

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Prologue Medicines
Prologue Medicines
Vice President, Machine Learning and Computational Biology
Boston, MA, US
AeroLeads page
10 roles

Leonardo Rodrigues work experience

A career timeline built from the work history available for this profile.

Vice President, Machine Learning And Computational Biology

Boston, Ma, Us

Head Of Bioinformatics, Data, Software & Pipeline Engineering

Current

Paris, France, Fr

Jun 2023 - Present

Vice President, Ai & Machine Learning

Framingham, Massachusetts, Us

In this position, I employed my multi-disciplinary background in biology, machine learning, and data engineering to connect bio and data teams, and communicate limitations. We launched a company-wide data strategy and governance program. My problem solving expertise was instrumental in characterizing and mitigating challenges related to dataset use.• Directed the Data Science Division, as well as IT activities and Azure infrastructure. • Devised and installed ETL/QC and ML pipelines; maneuvered analysis of 2D-NMR spectra and reduced processing and analysis time from two weeks to under ten minutes

Apr 2021 - Jan 2023

Vice President, Ai & Machine Learning And Head Of It

Framingham, Ma, Us

In this dual role, I oversaw data analysis and governance of drug development, preclinical, and clinical development programs. Organized digital infrastructure, and oversaw activities to convert proprietary AI methods into scalable technology. My efforts to set our direction and create a roadmap of data strategy allowed transparent governance of projects across R&D and clinical teams. I also managed IT operations for helpdesk, innovation, and infrastructure-management.• Provisioned and controlled budget for IT and Analytics Divisions; represented cross-functional Analytics Division in M&A prospects, enabled projects, delivered presentations, and finished audits to gather data for decision making.• Cultivated partnership with Advent Health and Oak Ridge National Labs to leverage clinical data from 280K+ patients via ORNL supercomputers and causal artificial intelligence methods to understand COVID-19 infection prognosis; generated predictive and prescriptive models to support treatment evaluations.

Apr 2019 - Mar 2021

Senior Director, Ai & Machine Learning

Framingham, Ma, Us

My communication, leadership, and organizational skills were utilized to guide AI and ML teams to carry out research, development, and analysis activities. I conceived and executed FAIR data principles throughout data infrastructure to expand granular query, profiling, and access to over ten years of datasets, results, and deliverables.• Steered growing Analytics and HPC teams after expansion from internal division to data analytics services provider in pharmaceutical and healthcare fields; managed client interactions, designed projects, and oversaw analysis and reporting activities. • Governed network meta-analysis web-portal launch; capabilities included interactive exploration of AI-generated causal graphs, metrics filtering and highlighting, and meta-analysis with external repositories.

Jan 2018 - Apr 2019

Associate Director, Advanced Analytics

Framingham, Ma, Us

With the expansion to an AI-services provider, I recruited, coached, and mentored the growing Analytics and HPC teams. We processed, integrated, and analyzed clinical, laboratory, and molecular screening data for the internal Phase 1 solid tumors clinical trial; advanced Phase 1-identification and Phase 2-validation of blood markers capable of stratifying treatment-naïve patients based on response and severity of adverse events.• Managed data analysis contract with Sanofi Pasteur; generated predictive models and identified molecular and clinical markers associated with immune response to the flu vaccine.• Applied expertise in data visualization and project delivery to present topics in 7+ analytics meetings annually; re-designed and improved company-wide public presentation material.

May 2015 - Dec 2017

Interim Linux System Administrator

Framingham, Ma, Us

• Configured and managed AWS instances and developed tools to integrate Cloud and internal servers. • Followed transition to on-premises HPC solution; configured and managed new Linux servers and HPC cluster. Deployed solutions comprised directory, version control, Scrum/Agile, SQL/noSQL databases, web server, monitoring, distributed configuration, distributed computing, cluster management, environment isolation, GPU parallelization and development services.

Nov 2013 - Jun 2016

Senior Scientist Informatics

Framingham, Ma, Us

• Defined data architecture and DevOps policies of Analytics Division encompassing project management, Agile development, and version control; guaranteed high quality, fast delivery, and traceability. • Delivered a meta-analysis for Department of Defense (DoD) that aimed to identify novel prostate cancer biomarkers and therapeutics targets, forming a long lasting partnership.• Developed and implemented ML/AI pipelines for causal inference and prescriptive modeling.• Liaised with Analytics, R&D, and Precision Medicine teams.

May 2013 - Apr 2015

Scientist Informatics

Framingham, Ma, Us

• Supported projects to identify novel diagnostic, predictive, and prognostic biomarkers for treatment-induced cardiomyopathy, diabetes, and obesity.• Designed, developed, and deployed algorithms for multi-OMICS processing (proteomics, lipidomics and metabolomics), integration, and analysis. • Directed software development activities; constructed signal processing system to extract/process Lipidomics Mass Spectrometry raw data and decreased time for data processing from days to minutes and allowed for de facto implementation of high-throughput Lipidomics platform.

Apr 2012 - Apr 2013

Postdoc

Cambridge, Massachusetts, Us

Research focused on cancer metastasis and cancer stem cells. Developed tools to automate the analysis of molecular data and to simulate molecular Mechanisms of Action (MOAs). Following, validated the predicted results in in-vitro and in-vivo experiments.

May 2007 - Mar 2012
2 education records

Leonardo Rodrigues education

Ph.D., Biochemistry, Molecular And Cell Biology, Bioinformatics

Usp - Universidade De São Paulo

B.Sc. In Molecular Sciences, Major In Bioinformatics / Molecular Biology

Usp - Universidade De São Paulo
FAQ

Frequently asked questions about Leonardo Rodrigues

Quick answers generated from the profile data available on this page.

What company does Leonardo Rodrigues work for?

Leonardo Rodrigues works for Prologue Medicines.

What is Leonardo Rodrigues's role at Prologue Medicines?

Leonardo Rodrigues is listed as Vice President, Machine Learning and Computational Biology at Prologue Medicines.

What is Leonardo Rodrigues's email address?

AeroLeads has found 1 work email signal at @berghealth.com for Leonardo Rodrigues at Prologue Medicines.

What is Leonardo Rodrigues's phone number?

AeroLeads has found 2 phone signal(s) with area code 617 for Leonardo Rodrigues at Prologue Medicines.

Where is Leonardo Rodrigues based?

Leonardo Rodrigues is based in Greater Boston, United States while working with Prologue Medicines.

What companies has Leonardo Rodrigues worked for?

Leonardo Rodrigues has worked for Prologue Medicines, Sanofi, Olaris, Inc, Berg Llc, and Whitehead Institute.

How can I contact Leonardo Rodrigues?

You can use AeroLeads to view verified contact signals for Leonardo Rodrigues at Prologue Medicines, including work email, phone, and LinkedIn data when available.

What schools did Leonardo Rodrigues attend?

Leonardo Rodrigues holds Ph.D., Biochemistry, Molecular And Cell Biology, Bioinformatics from Usp - Universidade De São Paulo.

What skills is Leonardo Rodrigues known for?

Leonardo Rodrigues is listed with skills including Molecular Biology, Cell Biology, Cell, Bioinformatics, Cell Culture, Biochemistry, Qpcr, and Cancer Research.

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