CLEMENT ESSIEN

GitHub, LinkedIn

adiw9b@r.postjobfree.com

573-***-****

**** ******* **** ********, **, 65201

EDUCATION

UNIVERSITY OF MISSOURI

Columbia, MO

Ph.D. Computer Science (2018 - present)

GPA: 3.7

Relevant Coursework

• Neural Networks

• Supervised Learning

• Machine Learning Methods for

Biomedical Informatics

• Algorithms

• Computer Vision

ROBERT GORDON UNIVERSITY

Aberdeen, Scotland

M.S. Information Engineering (Dec 2014)

GPA: 3.7

Awards & Honors

• Outstanding Society Member, TIMGEN,

Robert Gordon University, United

Kingdom

FEDERAL UNIVERSITY OF TECHNOLOGY AKURE

Akure, Ondo

B.Sc. Computer Science (Oct 2010).

GPA: 3.6

Awards & Honors

• Best Graduating Student, Computer

Science

• NDDC Post Graduate Scholarship

recipient:(MSc) Information

Engineering, Robert Gordon

Extracurricular Activities

• Volunteer tutor at City of Refuge,

Columbia, Missouri.

• President, Africa Post-Graduate and

Professional Student Association,

University of Missouri.

PROFESSIONAL EXPERIENCE

GRADUATE RESEARCH ASSISTANT

University of Missouri Columbia, COLUMBIA, MO / Aug 2018 – Present

• Created a deep learning tool based on Capsule Network for predicting binding sites in Zinc Metalloproteins.

SOFTWARE ENGINEER

Seamfix Nigeria Limited, Lagos, Nigeria / Mar 2015 – Jul 2018

• Optimized the algorithm to schedule borrowing of airtime in the Nano airtime application (on Etisalat Telecommunications Network)

• Optimized search, sorting, and generated analytics for the MTN KYC SIM registration and operations application across several modules to make the application run faster.

SOFTWARE DEVELOPER (INTERN)

Scottish Natural Heritage, Inverness, Scotland / 2014 – 2015

• Designed the Time module in the Work-Time Employee clock-in app to allow for flexible clock in/clock out and analysis of work patterns.

ADDITIONAL SKILLS

• Programming: Python, R, Java, C#, HTML, CSS, JavaScript, PHP

• Platforms: MSSQL, MySQL, MongoDB

• Skillsets: Machine Learning (TensorFlow, Scikit-learn, Keras), Neural Networks, Payment Systems, Databases, Requirements Engineering (gathering, analysis, design and documentation), Business Analysis, Computer Vision (OpenCV), Data

Visualization, Version Control(Git), AWS.

PUBLICATIONS and PROJECTS

1. 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.

2. LSTM/CNN to classify trajectory of aptamers during EGFR Homodimerization single cell image frames to ascertain if they are bound to certain protein(s) 3. Convolution Neural Network for predicting Protein Secondary Structure from sequences.

4. Multilabel classification of metal binding sites in Metalloproteins using ELECTRA Transformer NLP technique on dataset compiled from MetalPDB. 5. O.S. Adetunji, C. Essien, O.S. Owolabi, “eDIRICA: Digitizing Cultural Heritage for Learning, Creativity, and Inclusiveness” Euro-Mediterranean Conference, 447- 456.

6. 3D Protein Structure Template Based Modelling.

Contact this candidate