Christopher Sabourin

FlowPatterns 

Chief Executive Officer

Christopher Sabourin DDS, MS, MSD, Inc.

Endodontist

Endodontic SuperSystems

Technische Universität Dresden

•  Continued on deep neural networks to represent many-body potential energy and force-fields for molecular systems.

Machine Learning Researcher

•	Conducted research about "Utilizing Molecular Dynamics Simulation Trajectories to Predict Potentials for Structures using Machine Learning".
•	Performed single point, relaxation and molecular dynamics calculations using VASP and CP2K.
•	Generated accurate potentials from computational chemistry simulations.
•	Trained machine learning algorithms using DeepMD and TensorFlow to predict potential energy surfaces.
•	Integrated computational results with machine learning models for enhanced predictive capabilities
PI: Thomas Heine
Supervisor: Agnieszka Kuc

Undergraduate Researcher

FeelAnimation

I've always believed that the joys of life should be shared. This belief led me to a career in video animation, where I found that my passions align with creating engaging, animated content that enriches projects and enhances customer satisfaction.

At Feel Animation, our mission is to spread well-being and success through top-quality animations. Whether you're looking to grow your business, engage your audience, or train your team with easy-to-understand videos, we are here to help.

Our team of professional animators and content creators brings years of experience to each project, ensuring your vision is brought to life with precision and creativity. To discuss how we can support your goals, please contact me at Ege@feelanimation.com.

Let's make your dreams a reality.

Co-Founder

Koç University

Working on computational catalysis in Dr.Önder Metin’s group.
Supervised by Vladimir Efremov

Undergratuate Researcher

Queen's University

Computer Science Exchange Program
Study in Canada Scholarship awarded by Canadian Government

Courses: 
Cmpe 457  Image Processing
Elec475   Computer Vision with Deep Learning
Cmpe 452 Artificial Neural Networks and Genetic Algorithms
Chem 313 Mechanistic Organic Chemistry

Exchange Student

Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

https://sites.google.com/view/mahdi-ghorbani-asl/people

Summer Research Student

TÜBİTAK BİLGEM

•	Developed dynamic and responsive user interfaces using React.js for enhanced user experience. 
•	Implemented backend services using SpringBoot to ensure seamless integration and data flow.
•	Managed and optimized PostgreSQL databases for efficient data storage and retrieval.
•	Utilized Java programming language to build robust and scalable web applications.

Full-stack Developer

Northwestern University

•	Conducted research about "Force-field parametrization of structures using machine-learning".
•	Designed models of MoSe2 structures to run on LAMMPS and reproduce already reported tersoff Potentials.
•	Developed multi-objective parametrization of interatomic potentials for large deformation pathways and fracture of two-dimensional materials.

Supervisor: 
Horacio Dante Espinosa

Machine Learning Researcher-Material Science

Computer Science exchange student
Courses:
Chem 444 - Quantum Mechanics and Computational Chemistry, Instructor : George Schatz
Comp 214 - Data Structures and Algorithms, Instuctor : Vincent St-Amour
Chem 442 - Statistical Mechanics, Instructor : Todd Gingrich

Deloitte

• Assisted in consulting projects by providing data - driven insights and supporting client facing activities.
• Developed and automated data models and dashboards to optimize client business processes, improving decision making through data visualization and reporting.
• Contributed to client presentations by translating complex technical concepts into clear, concise reports for stakeholders.

Project Consultant

NFTBull

•	Led the development and use of sophisticated sentiment analysis algorithm to forecast future NFT prices using Hugging Face API.
•	Implemented a robust testing and refinement cycle for algorithm, resulting in streamlined data processing and improved predictive accuracy.
•	Conducted thorough failure mode analysis to identify and rectify potential shortcomings in the algorithm, enhancing its overall robustness and performance.

Data Science Intern

Worked on Solid State Synthesis', Thermoelectrical Materials
KUBAM

Experience in video animation, management, customer appreciation.

Koc University


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Christopher Sabourin

Ege Yiğit E.

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