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Biotechnology & Computer Vision Cleared SME: invents or sharpens data products applying ML or DL to uncover the new. 3D renderings of individual proteins at Å resolution. Publications in top journals (e.g. Nature Ed.)
When there is the need of developing a new approach to find an answer, I create it: I plan and assemble new materials/devices/methods. In the second phase, I create or use advanced methods of statistical data analysis, automating the workflow with Machine Learning or Deep Learning when possible. And I always visualize results in order to quickly understand what is the trend. Experienced in laboratory research (Physics, Chemistry and Biology) since early 2000. Core focus from first principles to prototype: (1) development and implementation of (original) statistical schemes of data analysis; (2) assembly/optimization of (biotechnology) devices/methods for faster/better access at higher resolution or sharper specifications. Advanced in electron and optical microscopy and development of new schemes for exploiting electromagnetic radiation propagation in composite media (cryoEM). Expert of X-ray and UV/Vis Spectroscopy and diffraction. Three dimensional reconstruction from series of two dimensional images using and modifying shareware algorithms . Experienced of imagery analysis and classification for machine learning algorithms: focus on metrics refinement.
The Johns Hopkins University - Carey Business School
One year Master program, Business Creation: INNOVATE Program
January 1, 2011 – January 1, 2012
Eindhoven University of Technology
PhD, Physics: structure of thin liquid crystal films
January 1, 1997 – January 1, 2001
Università degli Studi di Cagliari
Master's degree, Chemistry
October 1, 1990 – July 1, 1995
Università degli Studi di Cagliari
Master's degree, Chemistry
October 1, 1990 – July 1, 1995
Università degli Studi di Cagliari
Master of Science - MS, Analytical Chemistry
January 1, 1990 – January 1, 1995
Eindhoven University of Technology
Doctor of Philosophy - PhD, Physics
N/A – Present
PERATON for USPS
Data Scientist IV
February 1, 2026 – Present
Raleigh, NC · On-site
Mercor
Prompt Engineer
July 1, 2025 – January 1, 2026
City of Fairfax County, Virginia, United States · Remote
WR Systems, Ltd
Lead Data Scientist and Software Engineer III
January 1, 2024 – May 1, 2025
Fairfax Virginia · On-site
Cytek Biosciences
Senior Data Scientist Algorithm Developer
January 1, 2023 – October 1, 2023
Seattle, Washington, United States · On-site
Reveal Global Consulting
Senior Data Scientist and Algorithm Developer
April 1, 2020 – January 1, 2023
Maryland, United States
Allwyn Corporation
Senior Data Scientist Lead
January 1, 2020 – February 1, 2020
VA
Experis/Manpower Group for Accenture
Senior Big Data Scientist & Algorithm Developer
August 1, 2019 – September 1, 2019
Arlington VA
Cloudious-Cognizant-Bayer
Senior Data Scientist
June 1, 2019 – August 1, 2019
Washington DC and Saint Louis MO
ECS-federal, LLC (now bought by On Assignment)
Technical SETA for ECS at DARPA: Staff Scientist Mid-level II
February 1, 2018 – May 1, 2018
Arlington, VA
ECS-federal Inc.
Imagery Analyst for Machine Learning algorithm development
October 1, 2017 – June 1, 2019
Arlington, VA
ECS
Imagery Analyst
September 1, 2017 – June 1, 2019
Fairfax County, Virginia, United States · On-site
Laboratory of Cellular Imaging and Macromolecular Biophysics - NIBIB
Senior research and protocol development scientist – contractor
February 1, 2017 – September 1, 2017
Bethesda, Maryland, NIH campus
Science-Management-Engineering Inc.
Senior Research Scientist - contractor
December 1, 2014 – April 1, 2020
Bethesda (MD) campus of the National Institutes of Health - NICHD
Universidade de Brasília
Research Scientist with CnPQ – Brazilian Research Council – fellowship
May 1, 2014 – April 1, 2016
Brasília, Brazil,Berkeley (CA) and Bethesda – National Institutes of Health
Kelly Services
Scientist
July 1, 2012 – April 1, 2014
Bethesda, Berkeley and George Washington University, DC
FlashAction LLC
Chief Scientific Officer
November 1, 2011 – April 1, 2014
Rockville, MD
National Institutes of Health
Postdoctoral IRTA - NICHD - NINDS
April 1, 2006 – July 1, 2012
Bethesda, MD – USA
AMNIS AI
January 1, 2023 – Present
Refinement of AMNIS AI algorithm and interface
Cultural Fit Analysis
The candidate's diverse project experience, ranging from refining AI algorithms for USPS to developing deep learning schemes for cellular phenotyping and scientific consulting, indicates a broad interest and adaptability. The academic background in Physics and Chemistry, combined with practical application in Data Science and ML, suggests a strong foundation for innovative problem-solving. The roles held, particularly 'Lead Data Scientist' and 'Senior Data Scientist Algorithm Developer', align well with the technical depth expected for an ML Engineer. The breadth of skills listed across various roles (e.g., CI/CD, Big Data, SQL, various ML algorithms) also points to a versatile individual who could integrate into different technical cultures.
Soft Skills & Operational Fit
The candidate's extensive experience across various organizations (government contractors, biotech, consulting) suggests adaptability and a capacity to work in diverse operational environments. The descriptions highlight problem-solving, algorithm development, and statistical analysis, indicating strong analytical and technical leadership skills. However, without specific psychometric test results, a detailed assessment of soft skills like teamwork, stress handling, or communication clarity in a collaborative setting is not possible.