Luiza G.
Machine Learning/AI Engineer

Skills

Python

Luiza is available for hire

All Howdy Candidates are vetted for skills and english proficiency.

Bio

An expert in statistical models, with a focus on understanding the dynamics of molecular motors, developed through doctoral and master's studies. Maintains a solid academic record and a significant capacity for comprehending complex problems. Distinguished in addressing challenges and exhibiting a keen interest in collaborative work. Strong skills in computational modeling and data science, with an interest in transforming datasets into valuable insights through advanced data science techniques.

Project Manager
3/1/2022 - Present

Led teams in the development of digital solutions for clients in the LATAM region and global companies. Coordinated developer teams and resources to achieve specific project goals utilizing agile methodologies. Effectively communicated with clients and stakeholders to ensure deliverables met defined scopes and budgets.
Postdoctoral Fellow
8/2/2019 - 8/1/2021

Developed advanced artificial intelligence models specifically designed to automate the planning of radiation therapy treatments. Demonstrated expertise in machine learning frameworks such as TensorFlow and PyTorch. Implemented algorithms utilizing deep learning techniques to optimize treatment schedules and dosages. Employed Python and R for data analysis and preprocessing, ensuring high-quality and accurate data inputs. Applied extensive knowledge of medical imaging technologies, including DICOM formats, to integrate seamlessly with existing clinical systems. Leveraged cloud platforms such as AWS for scalable compute resources and advanced analytics capabilities. Utilized version control systems like Git for collaborative development and code maintenance. Ensured compliance with healthcare regulations and standards, emphasizing data security and patient privacy.
PHD
8/2/2015 - 7/2/2019

Successfully completed a doctoral project specializing in theoretical chemistry, focusing on the development of computational and mathematical models to study motor proteins. Acquired advanced knowledge in manipulating and analyzing complex theoretical frameworks, applying multidisciplinary computational techniques, and employing high-level mathematical modeling. This role required extensive use of programming languages such as Python and MATLAB, alongside proficiency in simulation software like Gaussian and VMD (Visual Molecular Dynamics). Developed a deep understanding of statistical mechanics, molecular dynamics, and quantum chemistry principles. Utilized high-performance computing systems for large-scale data analysis and computational tasks. Enhanced technical writing and presentation skills through the documentation and dissemination of research findings in academic journals and conferences, contributing to the broader scientific community.