CV

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Education

• B.Sc. in Computer Science, Ekiti State University, Ado-Ekiti, Nigeria, 2014
• M.Sc. in Computer Science, Universiti Teknologi Malaysia, 2017
• Ph.D in Computer Science, City University of Hong Kong, 2023

Work experience

• Visiting Research Fellow: Cornell University (Sept. 2022 - Feb. 2023)
  • I worked on developing machine learning methods for Cancer and Tuberculosis patient classification based on genomics and metabolomics data sets.
  • I worked with time series data, specifically ambulatory blood pressure data
• Machine Learning Researcher: CORIL Lab, City University of Hong Kong (Sept. 2019 - Aug. 2023)
  • I was in charge of labwork for the following courses: Data-Intensive Computing, Big Data Algorithm & Technique, and Introduction to Computer Programming.
  • I was a tutor for Introduction to Computer Science for four semesters.
  • I prepared lab materials, graded tests and assignments, and answered students’ questions.
• Lecturer: Kings University Odeomu, Nigeria (Mar. 2018 - Aug. 2019)
  • I taught the following courses: Fundamentals of Data Structure & Algorithms, Computer Networks, and Object-Oriented Programming.
  • I developed mid-semester quizzes, homework, and exams.
  • I coordinated grading and lab work.
  • I supervised student projects.
• System Analyst: National Institute for Educational Planning and Administration Ondo, Nigeria (May. 2015 - Apr. 2016)
  • I traced and restored network disconnections in the different parastatals of the Institute.
  • I tutored university interns on practical networking and web development skills.
  • I was a member of the networking team that set up a computer-based test facility for almost 1000 students.
• Intern: Bureau of Computer Services and Information Technology, Office of the Governor. Osogbo, Nigeria: (Aug. 2012 - Feb. 2013)
  • I monitored the State Network Operating Center (NOC). I also traced connection loss and facilitated its restoration.
  • I was responsible for constant network connection in all office ministries.
  • I tutored college students on basic computer skills.

Skills

• Languages: Python, SQL, R, JavaScript, C++
• Frameworks: Scikit, TensorFlow, Keras
• Platforms: Web, Windows, JASP, WEKA, Matlab
• Soft Skills: leadership, event management, communication for scientific and professional purposes, team building
• Communication: English (full professional proficiency), Yoruba (native proficiency), French (elementary proficiency)
• Interests: cycling, swimming, hiking, badminton, table tennis

Publications

Application of Machine Learning in Prediction of Bioactivity of Molecular Compounds: A Review

Petinrin, O. O. & Olatunbosun, K. (2017) "Application of machine learning in prediction of bioactivity of molecular compounds: A review." Technology (ICONSEET), 2(2), 9-15.

Expert System for Diagnosis of Malaria and Typhoid Fever

Olatunbosun, K., & Petinrin, O. O. (2017). "Expert System for Diagnosis of Malaria and Typhoid Fever". Technology (ICONSEET), 2(44), 341-346.

A Digital Technology Framework for Promoting Nutritional/Health Benefits of West African Diet

Muniru, I. O., Shifulah, N., Petinrin, O. O., & Utama, N. P. (2017). "A Digital Technology Framework for Promoting Nutritional/Health Benefits of West African Diet". International Conference of Science, Engineering and Social Sciences (ICSESS) (29), 201-203.

Voting-Based Ensemble Method for Prediction of Bioactive Molecules

Petinrin, O. O., Saeed, F., & Al-Hadhrami, T. (2017, October). "Voting-based ensemble method for prediction of bioactive molecules". In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 118-122). IEEE.

Bioactive Molecule Prediction using Majority Voting-Based Ensemble Method

Petinrin, O. O., & Saeed, F. (2018). "Bioactive molecule prediction using majority voting-based ensemble method". Journal of Intelligent & Fuzzy Systems, 35(1), 383-392.

Ensemble Learning Method for the Prediction of New Bioactive Molecules

Afolabi, L. T., Saeed, F., Hashim, H., & Petinrin, O. O. (2018). "Ensemble learning method for the prediction of new bioactive molecules". PloS one, 13(1), e0189538.

Filter-Wrapper Combination and Embedded Feature Selection for Gene Expression Data

Hameed, S. S., Petinrin, O. O., Hashi, A. O., & Saeed, F. (2018). "Filter-wrapper combination and embedded feature selection for gene expression data". Int. J. Advance Soft Compu. Appl, 10(1), 90-105.

Stacked Ensemble for Bioactive Molecule Prediction

Petinrin, O. O., & Saeed, F. (2019). "Stacked ensemble for bioactive molecule prediction". IEEE Access, 7, 153952-153957.

High-Performance Computing for Computational Modelling in Built Environment-Related Studies – a Scientometric Review

Aghimien, E. I., Aghimien, L. M., Petinrin, O. O., & Aghimien, D. O. (2020). "High-performance computing for computational modelling in built environment-related studies–a scientometric review". Journal of Engineering, Design and Technology, Vol. 19 No. 5, pp. 1138-1157..

Protocol for Epistasis Detection with Machine Learning using Genepi Package

Petinrin, O. O., & Wong, K. C. (2021). "Protocol for epistasis detection with machine learning using genepi package". In Epistasis (pp. 291-305). Humana, New York, NY.

Optimal Distributed Generation Location and Sizing for Loss Minimization and Voltage Profile Optimization using Ant Colony Algorithm

Ogunsina, A. A., Petinrin, M. O., Petinrin, O. O., Offornedo, E. N., Petinrin, J. O., & Asaolu, G. O. (2021). "Optimal distributed generation location and sizing for loss minimization and voltage profile optimization using ant colony algorithm". SN Applied Sciences, 3(2), 1-10.

Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey

Liu, L., Chen, X., Petinrin, O. O., Zhang, W., Rahaman, S., Tang, Z. R., & Wong, K. C. (2021). "Machine learning protocols in early cancer detection based on liquid biopsy: a survey". Life, 11(7), 638.

Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients

Petinrin, O. O., Li, X., & Wong, K. C. (2021). "Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients". IEEE Journal of Biomedical and Health Informatics, 26(3), 1309-1317.

The Comprehensive and Systematic Identification of BLCA-Specific SF-Regulated, Survival-Related AS Events

Liu, Z., Liu, X., Liu, F., Zhao, H., Zhang, Y., Wang, Y., Ma, Y., Wang, F., Zhang, W., Petinrin, O.O., Yao, Z., Liang, J., He, Q., Feng, D., Wang, L., & Wong, K. C. (2022). "The comprehensive and systematic identification of BLCA-specific SF-regulated, survival-related AS events". Gene, 835, 146657.

Reactions’ Descriptors Selection and Yield Estimation using Metaheuristic Algorithms and Voting Ensemble

Petinrin, O. O., Saeed, F., Li, X., Ghabban, F., & Wong, K. C. (2022). "Reactions’ descriptors selection and yield estimation using metaheuristic algorithms and voting ensemble". Computers, Materials and Continua, 70(3), 4745-4762.

Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects

Petinrin, O.O., Saeed, F., Toseef, M., Liu, Z., Basurra, S., Muyide, I.O., Li, X., Lin, Q. and Wong, K.C. (2023). "Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects". Computational and Structural Biotechnology Journal Vol. 21, 2454-2470.

Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification

Petinrin, O. O., Saeed, F., Salim, N., Toseef, M., Liu, Z., & Muyide, I. O. (2023). "Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification". Processes, 11(7), 1940.

Deep Transfer Learning for Clinical Decision-Making Based on High-Throughput Data: Comprehensive Survey with Benchmark Results

Toseef, M., Petinrin, O.O., Wang, F., Rahaman, S., Liu, Z., Li, X., & Wong, K. C. (2023). "Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results". Briefings in Bioinformatics, bbad254.

Construction of Immune Infiltration-Related LncRNA Signatures Based on Machine Learning for the Prognosis in Colon Cancer

Zhe, L., Petinrin, O.O., Toseef, M., Chen„ N., & Wong, K. C. (2023). "Construction of Immune Infiltration-Related LncRNA Signatures Based on Machine Learning for the Prognosis in Colon Cancer". Biochemical Genetics, 1-28.

Talks

Navigating Hong Kong

October 24, 2020

Talk at Hong Kong, Hong Kong

Latex Bootcamp Facilitator

July 23, 2022

Tutorial at HK, Hong Kong SAR

Teaching

Lecturer

Teaching Assistant / Tutor

Service and leadership

• Member, Research Education Committee, Dept. of Computer Science, CityU Hong Kong: Sept 2021 - Aug 2023
• Secretary, Association of Nigerian Scholars in Hong Kong (ANSHK) Hong Kong: Oct 2021 - Sept 2023
• Member, Electoral Committee, ANSHK Hong Kong: 2020
• Member, Electoral Committee, International Student Society (ISS-NIGERIA), UTM Malaysia: 2017
• Member, Annual General Meeting Committee, ISS-NIGERIA, UTM Malaysia: 2017
• Project Coordinator, Information Communication and Technology Community Development Service Group Ondo, Nigeria: 2015 - 2016
• Proctor, Joint Admissions and Matriculation Board Ondo, Nigeria: March 2016
• Academic Director, Deeper Life Campus Fellowship Ekiti, Nigeria: 2011 - 2012