Christian Daniel Basile (US Citizen Fluency in English and Spanish)
**** * ******* • Philadelphia PA 19147 • 585-***-**** • ac4kr1@r.postjobfree.com
Professional Profile
I am an highly curious and energetic engineering that has over 6 years of experience problem solving processes in a wide range of fields such as engineering, computational biology and clinical medicine. My main passion is to uncover uncertainties and in optimizing technology and production using diverse tools related to programming, engineering and mathematics. While I have expanded my problem solving experience in mathematical modeling, I never lost the sight of my engineering way of thinking, and the importance of optimizing communication and team performance. My recent experiences have increased my ability to synthesize information fast and thus capable of adapting rapidly to different technology and scenarios.
Skills
Advanced skills in Matlab & Simulink, R, Python, Excel
Proficient in Mathematical Modeling of dynamical systems, Parameter Estimation, Statistics
Experienced in troubleshooting large processes and systems and implementing complex software and equipment
Experienced in integrating and launching systems, and coordinating complex logistics to meet customers needs
Experienced in using applied mathematics techniques such as Machine Learning
Strong knowledge and experience in classical and advanced control theory, including in Linear System Theory
Experience working with diverse complex data and in using SQL
Ability to synthetize information fast and communicate effectively in diverse work settings
EXPERIENCE
Freelance(Upwork) Philadelphia, PA
Data Scientist 12/2017-Present
Designing a prototype for a client, which aim will be to help optimize people’s reflexes.
Python, Raspberry PI, Openshape CAD
Hospital of the University of Pennsylvania Philadelphia, PA
Clinical Research/Data Scientist 3/2016-12/2017
Analyzed and studied smell, taste, and electrophysiology data with R and Python
Collaborated with scientists and doctors to help validate using wide mathematical principles such as fractal analysis, machine learning to help validate a biomarker for Parkinson’s disease
Managed several clinical projects, and medical equipment, including EMG, as well as troubleshot systems
Used several math tools to remove noise from EMG data
Environment: Python, R,
Metso Automation Philadelphia, PA
Control Engineer 11/2013-12/2014
Installed, built and upgraded control logic and systems working in power plant settings
Tested and troubleshot complex combustion processes, and in installing new equipment
Tested and troubleshot control systems, engineering software, and computer network configurations
Studied, analyzed, and repaired the systems as required
Presented orally and written reports when projects were completed
Provided report documentation with issues and resolutions
Environment: Metso Automation programs (includes debugging tools), Windows Servers, Access, VBA, PI SERVERS, Smart Signal
IBM Research Computational Biology Division New York, NY
Internship Research Data Scientist 3/2013 – 11/2013
Helped IBM Researchers design a parameter estimation problem based on a Whole Cell Model (~2000 parameters)
Tested various codes and mathematical algorithms to help IBM Researchers finalized the design
Used Linux in conjunction with the model to run the model in the amazon cloud to speed up the model run time to aid in the parameter estimation design model design
Environment: Matlab, Python, Linux and sensitivity analysis and parameter estimation toolset
Columbia University Medical Center New York, NY
Internship Research Data Scientist 3/2013 – 11/2013
Implemented and tested a heart cell model to predict substrates (i.e. glucose) sensitivity in energy production
Studied optimization algorithms in combination with model to gain insight into the results.
Environment: Matlab, Python, Metano, Cobra and optimization toolset
Urban Green Energy New York, NY
Internship Engineer R&D 5/2012 – 03/2013
Helped build a mathematical hybrid energy systems using programming and simulation techniques
Tested various software packages to assist the UGE team in the making of the model
Environment: HOMER, HYBRID 2, Matlab, Python
University of Pittsburgh Pittsburgh, PA
Graduate Student Computational Biologist 9/2010 – 5/2012
Developed a complex intracellular pharmacokinetic model of Gemcitabine (a chemotherapy drug) using Matlab & Simulink, and fitted model using various optimization algorithms
Tested code, and used C language to speed up the mathematical model fitting solution
Environment: Matlab & Simulink, C, and optimization toolset
EDUCATION
UNIVERSITY OF PITTSBURGH Pittsburgh, PA
Master of Science in Computational Biology and Chemical Engineering 12/2012
UNIVERSITY OF ROCHESTER HAJIM SCHOOL OF ENGINEERING AND APPLIED SCIENCES Rochester, NY
Bachelor of Science in Chemical Engineering 5/2010
UNIVERSITY OF PENNSYLVANIA Philadelphia, PA
Post - Baccalaureate in Biology and Neuroscience 8/2017