Machine Learning Engineer

CLEMENT ESSIEN

Lewisville, TX *****

****.******@*****.*** / 469-***-****

GitHub LinkedIn

EDUCATION

Ph.D. in Computer Science August 2018 – December 2023

University of Missouri - Columbia, MO

Master of Science in Information Engineering September 2013 – December 2014

Robert Gordon University - Aberdeen, UK

Bachelor of Technology in Computer Science October 2005 – October 2010

Federal University of Technology Akure - Ondo, NG

EXPERIENCE

Senior AI /Machine Learning Engineer

JPMorgan Chase - Plano, TX October 2023 - Current

Develop Artificial Intelligence and Machine Learning (AI/ML) Credit Risk Models to support Chase Auto acquisitions, pricing, loss prevention, repossession, and recovery.

Perform ongoing testing and monitoring of Chase Auto Credit Risk models.

Analyze potential macroeconomic impacts on the Credit Risk models and create mitigation strategies/overlays.

Research new explainability and validation techniques for AI/ML models.

Document and present model developments to Model Governance, Risk Policy, and Senior Leadership

Informatics Engineering Intern

Genentech - San Francisco, CA May 2023 – September 2023

Contributed to developing a Graph-Based Neural network that predicts compounds that have the potential to be combined synergistically in drug design.

Carried out extensive data analysis on the Human Liver Microsome 'in vitro' data to connect the intrinsic variability of the prospective performance of custom 'in silico' models and understand the uncertainty estimates provided by the Graph Neural Network ensembles.

Graduate Research Assistant

University of Missouri - Columbia, MO August 2018 – May 2023

Carried out research to designed AI / Deep Learning tools to predict ion-binding sites.

Published academic articles on my research.

Attended and presented my research results at conferences.

Data Scientist Intern

JPMorgan Chase & Co - Plano, TX June 2022 – August 2022

Implemented explainable AI techniques to understand and address the sensitivity of certain variables to the predictive performance of the Auto Loan Model thereby minimizing losses on loans.

NLP Research Intern

Sage Bionetworks - Seattle, WA June 2021 – August 2021

Created NLP Machine Learning tools for the annotation of sensitive information from clinical notes using the following frameworks: BERT, NeuroNer and Spark

Data Scientist Intern

Precise Software Solutions - Rockville, Maryland May 2020 – August 2020

Modeled and Implemented a Graph Database Solution with Network Analysis for the FDA Food traceability challenge..

Software Engineer

Seamfix Nigeria Limited - Lagos, NG December 2015 – July 2018

Worked on back/front end Technologies such as Core Java/J2EE, Springboot, Angular, React Native, JavaScript, JSP, HTML, CSS

Managed the web-based SIM Registration and Operations Module on the KYC solutions for the biggest telco in Africa - MTN Nigeria which helped them remain compliant with Nigeria regulatory body, thus averting 5 billion USD in sanction.

PUBLICATIONS

1. Essien C, Jiang L, Wang D, Xu D. Prediction of Protein Ion–Ligand Binding Sites with ELECTRA.

Molecules. 202328(19):6793. https://doi.org/10.3390/molecules28196793

2. C. Essien, F. He, M. Hannink, M. Popescu and D. Xu, "Extraction of Gene Regulatory Relation Using BioBERT," 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 3351-3355.

3. C. Essien, D. Wang and D. Xu, "Capsule Network for Predicting Zinc Binding Sites in Metalloproteins,"

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 2337-2341.

4. Yan, Y., Yu, T., Muenzen, K., Liu, S., Boyle, C., Koslowski, G., Zheng, J., Dobbins, N., Essien, C., Liu, H. and Omberg, L., 2022. The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. arXiv preprint arXiv:2206.14181.

5. Zigo, M., Kerns, K., Sen, C. Essien. Zinc is a master-regulator of sperm function associated with binding, motility,and metabolic modulation during porcine sperm capacitation. Commun Biol 5, 538 (2022).

6. L. Jiang, Y. Jiang, C. Wang, C. Essien, J. Wang, A. Ma, Q. Ma, and D. Xu, “Machine learning development environment for single-cell sequencing data analyses”, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 2022, pp. 3824-3826

7. Essien, C., Wang, N., Fei, Yu, Yang, Manshour, N., Dong Xu. 2024 “Prediction of coordinated metal ion- ligand binding sites using geometry-aware graph neural networks” [in review]

TECHNICAL SKILLS

Python, R, JAVA, C#, JavaScript, Neural Networks, Machine Learning, Natural Language Processing (NLP), Pytorch, Keras, TensorFlow, MongoDB, SQL, Quantitative Research, Data Engineering, Data Visualization, Github, Amazon Web Service (AWS), Azure, Google Computing Services, Docker, Pyspark

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