Summary
Overview
Work History
Education
Skills
Websites
Research Publications
Awards
Certification
Leadership/Volunterring
Research Mentorship and Advising
References
Timeline
Generic

Ofori-Boateng Regina

Aberdeen

Summary

Large Language Model | NLP | ML | Information Retrieval| Generative AI| Knowledge Graphs| Recommendations systems | Reinforcement Learning | Interpretability | PhD Researcher


AI Enthusiast with an academic background and hands-on industry research skills (8+) in Natural Language Processing, Artificial Intelligence, Deep Learning, Large Language Models, Machine Learning, Human-In the-Loop, Generative Artificial Intelligence. Collaborated and engaged with world-class scientists, clinicians, and researchers to determine research objectives. Team player, collaborative with curiosity, growth mindset, integrity, passion, organizational skills, creativity and motivation

Overview

7
7
years of professional experience
4
4
Certification

Work History

SENIOR NLP/LLM/GENERATIVE AI DOCTORAL RESEARCHER

Aberdeen
10.2021 - 06.2024
  • Using/Training/Fine-tuning Large Language Models (LLMs) to automate text classification, anomaly detection, relation extraction, domain knowledge integration (reasoning), interpretability, integration in multimodal and multilingual systems with offline and online evaluation.
  • Working independently and conduct research to understand the state-of-the-art and innovative solutions/trends, methodologies, guidelines, models, and techniques in the NLP field as well as write grants to drive impact and competitive research, user needs, assets, and independently research and benchmarking
  • Article Writing/Publishing/Published first-authored peer-reviewed research papers high-impact journals Q1 and conferences, workshops, and academic events (Artificial Intelligence Review-Journal, ACL/ NAACL, ECIR, IEEE IJCNN)

NLP INTERPRETABILITY RESEARCHER

Leaps NLP Laboratory
01.2024 - Current


  • Leading NLP research based research.
  • Mentored junior researchers, providing guidance on study design, statistical analysis, and interpretation of results.
  • Developing a multimodal adversarial dataset to evaluate the robustness, bias and fairness of LLMs.
  • Investigating the inner mechanisms of Large Language Models (LLMs), aiming to reverse engineer their concepts and mechanics from the intricate learned weights.


LEAD NLP SEARCH/RECOMMENDATION SYSTEM RESEARCHER

London/Aberdeen
01.2023 - 08.2023
  • Researched the use of dual encoder for retrieval and re-ranking dual information retrieval systems on Spanish monolingual abstract
  • Conducted systematic literature reviews to stay abreast with SOTA models
  • Performed A/B experimentation on use case studies

LEAD NLP FINTECH KTP/INDUSTRY ASSOCIATE

Edinburgh
11.2022 - 04.2023
  • Researched best practices and methods of distillation of Knowledge graph construction for healthcare technology with SOTA NLP Toolkits for intelligent systems and iterate optimization and stochastic processes for industry research
  • Conducted 2 R&D in NLP and Deep learning (DL) Research Projects to identify, develop, and implement advanced techniques and algorithms for solving complex problems in text classification, sentiment analysis, information extraction and insights

KNOWLEDGE GRAPHS AI RESEARCHER (NLG)

Edinburgh
06.2022 - 10.2022
  • Integration and deployment and built KG into LLMs for domain adaptation and e-commerce, resulting in a 5-10% improvement in domain adaptation for scalable e-commerce platforms
  • Contributed to NLP-Based SQL Generation for large scalability Chinese and English databases, achieving a 6% increase in query accuracy and efficiency, performance analysis, testing, operations research and experimentation

AI GRADUATE/ASSOCIATE RESEARCH ASSISTANT

Accra
07.2020 - 07.2021
  • Worked on computer vision projects such as the use of Convolutional Neural Networks (CNN) and RNNS
  • Assisted in a graduate research thesis on the use of Deep Learning Neural Networks for mobile money fraud detection and optimize operational research and programs
  • Conducted literature reviews to stay abreast with SOTA methodologies, models, and techniques in the computer vision
  • Taught curriculum such as Applied Mathematics, biology, Informatics, biomedicine, machine learning algorithms, applied science, bio-electronics, computational statistics, medical imaging, research and development

GRADUATE MULTIMODAL COMPUTER VISION RESEARCHER

Accra
01.2021 - 05.2021
  • Investigated how to implement a transfer learning image identifier system for early detection of Autism in Ghanaian children through images and videos through governance and ethics
  • Investigated various image and video processing techniques enhancing analytical skills, creativity, analytical skills and critical thinking

MACHINE LEARNING TRAINEE

New Delhi
01.2021 - 02.2021
  • Gained exposure to a diverse range of concepts in networking, Security, cloud services, cloud Infrastructure, software development and model building, cloud computing, distributed computing
  • Demonstrated proficiency in core AWS such, including computing power, network, storage, and databases

CLOULD COMPUTING (AWS) PRACTITIONER

Accra
10.2020 - 02.2021
  • Applied machine learning and deep learning techniques to improve the accuracy of computer vision models in medical images
  • Assisted with multidisciplinary research and interdisciplinary researchers partner collaboration to implement cross-functional deliverables, and timelines, user insights, enterprise and user experience

LEAD DATA SCIENCIST

London
01.2019 - 09.2020
  • Developed and implemented new algorithms to improve existing models
  • Created computer models to easily predict consumer behaviours and trends
  • Applied statistics, Big data techniques, data structure, linear algebra/algebra, Spark, data mining and probability concepts in R, Stata and Python to solve problems
  • Collected, cleaned, and processed large-scale data sets for analysis
  • Implemented Deep Leaning and traditional Machine learning algorithms and network architecture to solve complex real life medical Visualization, with feedback loop mechanic and workflow

Computer Programming Instructor

Accra
05.2018 - 07.2019
  • Gained coding proficiency in Linux, c/c++, html, Python, GitHub, Web Application Programming, debugging, Internet of Things, Building web applications, Software Engineering, Software Design, Algorithm Development, design thinking, interactive design, design methods
  • Reported and presented research findings, and development experience to the team of programmers and non-technicians, improving communication skills

DL/NLP INTERN

Accra
08.2018 - 10.2018
  • Conducted extensive AI literature reviews, academic papers, applied research, identify gaps, wrote white paper (s) and drew roadmaps, bridging the implementation of cutting edge and innovative NLP methods and research trends, which resulted in an enhancement in task performance
  • Investigated how concepts in Deep learning (DL), such as GANs (Generative Adversarial Networks) for sentiment analysis with Data Augmentation methods

BIOSTATISTICIAN INTERN

Accra
05.2017 - 07.2017
  • Gained proficiency in Computer Aided Drug Design (CADD) sketch
  • Applied statistical modelling methods to collect, analyse, interpret, and present quantitative and qualitative data from biological experiments, surveys, controlled experiments, user research, interviews, genomics, computational biology
  • Assisted in collaborative research with global teamwork of multidisciplinary scientists, clinicians, biomedical affiliates, stakeholders interviews, researchers to determine research objectives and best data collection and analysis methods for computational neuroscience, scientific health and wellness, standards organization, trustworthiness, mentorship, accountability

Education

Ph.D. - Applied NLP And Machine Learning

Robert Gordon University
Aberdeen
06.2024

Associate of Applied Science - Advanced NLP And Deep Learning

Massachusetts Institute of Technology
Cambridge, MA
07.2021

Bachelor of Science - Engineering

University Of Ghana
Ghana
07.2016

Skills

  • Applied Machine Learning
  • Applied NLP
  • Artificial Intelligence
  • Computer Vision
  • Statistics
  • Data Mining
  • Data Science
  • Generative AI
  • Knowledge graphs (KGs) and Reasoning
  • Large Language Models (LLMs)
  • Medical Imaging
  • NLG, NLP, NLU
  • Retrieval-Augmented Generation
  • Pandas
  • Tensorflow
  • Numpy
  • Pytorch
  • Scikit-Learn
  • Active Learning (human-in-loop semi-supervised training)
  • Interpretability and Explanations of LLMs, Bias and robustness of LLMs

Research Publications

  • A Zero-Shot Hybrid First Stage Monolingual Retrieval System for Spanish Biomedical Systematic Literature Reviews (NAACL 2024)
  • Evaluation of attention-based LSTM and Bi-LSTM networks for abstract text classification in systematic literature review automation: https://doi.org/10.1016/ j.procs.2023.08.149
  • Towards automating systematic reviews using natural language processing, machine learning, and deep learning: A comprehensive review (Artificial Intelligence Review (11.6)-In review)
  • A Zero-Shot Hybrid First Stage Monolingual Retrieval System for Spanish Biomedical Systematic Literature Reviews (NAACL 2024)
  • Domain knowledge infusion and continual learning in pre-trained models with adapters for biomedical relation extraction (AIME 2024)
  • Enhancing Systematic Reviews: An In-Depth Analysis on The Impact of Active Learning Parameter Combinations (Human-In-The-Loop) for Biomedical Abstract Screening (Artificial Intelligence in Medicine (7.5)-In review)

Awards

  • Post Graduate Student with Distinction
  • PhD Grant
  • Best Female Student of the Year
  • Dean's Best Students
  • Best Graduating Student in Science
  • Overall Best Graduating Student

Certification

  • Generative AI - Google, USA
  • Programming for Data Science with Python Nanodegree - Udacity
  • LLMs with Semantic Search - DeepMindAI
  • AWS Certified Cloud Practitioner Certification
  • Applied Machine Learning - Data Camp Professional Course

Leadership/Volunterring

NAACL 2024 Volunteering Coordinator

Women's Ministry Leader, Techwomen Global

Computer Science Course Leader- Robert Gordon University

Director of Coding and applied IT 


Research Mentorship and Advising

Sibgha Anwar - PhD Student, Robert Gordon University, Aberdeen

Umair Arshad - PhD Student - Robert Gordon University, Aberdeen

Lawrence Nyarko-Otoo - Masters student, University of Aberdeen

Amina Dandami - PhD Student, School of Engineering, Robert Gordon University

Matthew Ibukun-PhD Student, School of Engineering, Robert Gordon University

Kingsley Boakye-Yiadom - Computer Science Apprentice

Pavlos Vougiouklis - Huawei Edinburgh Senior Reseracher

References

References available upon request

Timeline

NLP INTERPRETABILITY RESEARCHER

Leaps NLP Laboratory
01.2024 - Current

LEAD NLP SEARCH/RECOMMENDATION SYSTEM RESEARCHER

London/Aberdeen
01.2023 - 08.2023

LEAD NLP FINTECH KTP/INDUSTRY ASSOCIATE

Edinburgh
11.2022 - 04.2023

KNOWLEDGE GRAPHS AI RESEARCHER (NLG)

Edinburgh
06.2022 - 10.2022

SENIOR NLP/LLM/GENERATIVE AI DOCTORAL RESEARCHER

Aberdeen
10.2021 - 06.2024

GRADUATE MULTIMODAL COMPUTER VISION RESEARCHER

Accra
01.2021 - 05.2021

MACHINE LEARNING TRAINEE

New Delhi
01.2021 - 02.2021

CLOULD COMPUTING (AWS) PRACTITIONER

Accra
10.2020 - 02.2021

AI GRADUATE/ASSOCIATE RESEARCH ASSISTANT

Accra
07.2020 - 07.2021

LEAD DATA SCIENCIST

London
01.2019 - 09.2020

DL/NLP INTERN

Accra
08.2018 - 10.2018

Computer Programming Instructor

Accra
05.2018 - 07.2019

BIOSTATISTICIAN INTERN

Accra
05.2017 - 07.2017

Ph.D. - Applied NLP And Machine Learning

Robert Gordon University

Associate of Applied Science - Advanced NLP And Deep Learning

Massachusetts Institute of Technology

Bachelor of Science - Engineering

University Of Ghana

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