Machine Learning Research Scientist

PAUL NGUMBI

Boston, MA ***** 774-***-****

********@*****.*** https://www.linkedin.com/in/paul-ngumbi-0224b4236/ SUMMARY

Research Scientist and Educator

A dynamic results-driven Research Scientist and Educator with over 10 years of experience in research and academia. Holding a PhD in Physics with a focus on energy nanomaterials, complemented by expertise in machine learning, and molecular simulations. Proficient at fostering data-driven solutions in collaborative research, business, and instructional environments. SKILLS

Scientific Expertise: Optoelectronics, Arduino & IoT, Device Calibration, Microscopy & Spectroscopy, MATLAB, Crystallography, Schrödinger AutoQSAR, Molecular Dynamics Simulation, High- Performance Computing, Nanotechnology, AutoCAD

Data Science & Analytics: Python, R, SQL, Machine Learning, Data Analytics & Visualization, Natural Language Processing, TensorFlow, Transformers, Speech Recognition

Leadership & Project Management: Team Leadership, Project Assessment, Student Mentorship & Academic Leadership, Quality Assurance, Time Scheduling, Budgeting & Resource Allocation

Communication & Documentation: Training & Mentorship, Curriculum Design, Technical Writing & Presentation, Grant & Proposal Writing, Microsoft Office, LaTeX, Teams, Virtual Machine, Negotiation EXPERIENCE

Data Science and Machine Learning Program

Great Learning / MIT-IDSS 2023

Engineered predictive models using Python to address real-world challenges in healthcare and business.

Leveraged machine learning techniques, including Decision Trees and Neural Networks, to analyze and extract insights from complex datasets.

Research Fellow: Machine Learning for Electronic Structure & Molecular Dynamics (MLESMD) Collaborative Research in Atomistic and Molecular Modeling(EAIFR-CRAMM), Rwanda 2021 – 2023

Spearheaded research on material design using advanced data mining techniques on large-scale material databases.

Implemented machine learning algorithms to accurately classify materials as metals or insulators, enhancing material discovery.

Academic Instructor

South Eastern Kenya University, Kenya 2010 – 2023

Mentored and guided students on research projects involving electronics and instrumentation.

Designed and delivered comprehensive undergraduate and graduate curricula in Electronics and Physics, aligning with industry standards.

Supervised the installation and calibration of cutting-edge electronics lab systems to ensure operational excellence.

Provided mentorship to students, fostering innovation in research projects focused on electronics and instrumentation.

Optimized academic documentation systems through efficient web management strategies. PhD Research Fellow

Jomo Kenyatta University of Agriculture and Technology, Kenya 2015 –2021

Pioneered groundbreaking research on nanoparticles and 2D nanomaterials, advancing applications in energy materials.

Published high-impact findings in peer-reviewed journals and showcased research at international conferences.

Mastered advanced analytical tools and techniques for material characterization and data interpretation. EDUCATION

Jomo Kenyatta University of Agriculture & Technology

Ph.D. in Physics, Solar Energy Materials 2021

M.Sc. in Physics, Electronics & Instrumentation 2009 Egerton University, Kenya

B.Ed. in Science, Physics & Mathematics 2005

MIT Schwarzman College of Computing, United States

Data Science and Machine Learning 2023

RESEARCH GRANTS

ASESMANET Intra-Africa Mobility Grant ICTP-EAIFR 2022

PhD Research Grant NACOSTI, Kenya 2016

PROFESSIONAL DEVELOPMENT

Molecular Modeling for Materials Science Applications Schrödinger 2024

Deep Learning and Neural Networks Certification Coursera 2024

CHPC & NITheCS Coding Summer School South Africa 2024

Advanced Statistics and Experimental Design, R-Programming RUFORUM 2023

Certificate in Using MATLAB with Python MathWorks, MATLAB EXPO 2023 2023

Cloud Computing 101 Certification Coursera 2022 VOLUNTEER ACTIVITIES

Secretary, School Parents Council, Boston Public Schools, Henry Grew School 2024 – Present

Boston Saves Family Champion, Boston Public Schools 2024 – Present

Secretary, St. Joseph Mukasa Catholic Church, Kenya 2022 – 2023

Member, School Board of Management, Ministry Of Education, Kenya (MOE) 2017 – 2019 SELECTED PUBLICATIONS

1. Christian Aimé Njeumen, Ibrahim Isah, Musa A. M. Hussien, Alhadji Malloum, Esther Orisakwe, Emmanuel Iradukunda, Paul Ngumbi, Gbenro Timothy Solola, Robinson Okanigbuan, Jean Baptiste Fankam Fankam, Damilare Babatunde, Ahmed Dawelbeit, Gladys W. King’ori, Georgies Alene Asres, & Omololu Akin-Ojo (2024). Simple empirical method from machine learning for classification of materials as metals or insulators. Unpublished manuscript.

2. Musa A.M. Hussien, Damilare Babatunde, Georgies Alene Asres, Paul Ngumbi, Jean Baptiste Fankam, Christian Aime Njeumen, Gbenro Timothy Solola and Ojo Akin Omololu (2024). Predicting the nature of semiconductor bandgaps using machine learning techniques. Unpublished manuscript. 3. Ngumbi, P. K., Mugo, S. W., Ngaruiya, . M., Odisitse, S., & King’ondu, C. K. (2022). Synergistic power conversion efficiency contribution of counter electrode components in Dye Sensitized Solar Cells. 4. Ngumbi, P. K., Mugo, S. W., Ngaruiya, . M., & King’ondu, C. K. (2019). Multiple plasmon resonances in small-sized citrate reduced gold nanoparticles..

5. Ngumbi, P. K., Mugo, S. W., & Ngaruiya, J. M. (2018). Determination of Gold Nanoparticles Sizes via Surface Plasmon Resonance.

6. Ngumbi, P. K., Waweru, S. W., Ngaruiya, J. M., Katumo, N., & John, B. M. (2016). Optical Conductivity of Single Layer Graphene from Experimental Measurements and Theoretical Calculations. 7. John, B. M., Mugo, S. W., Timonah, N., Ngumbi, P. K., & Katumo, N. (2016). Correlation of Optical Transmittance with Number of Graphene Layers.

8. Katumo, N., W. Mugo, S., M. Ngaruiya, J., K. Ngumbi, P., & J. Mbaluka, B. (2015). Graphene Supported Platinum Counter Electrode for Dye Sensitized Solar Cells. REFERENCES

Available upon request

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