Fathima Nuzla Ismail

Postdoctoral researcher at University of Buffalo specializing in complex genetic networks. Expertise in bioinformatics and computational biology enhances research capabilities. Proficient in data science and deep learning, driving advancements in disease understanding and predictive modeling accuracy.

• 2017, PhD Scholarship recipient, University of Otago Doctoral Scholarship Program, New Zealand
• 2017, Scholar at the ACM Richard Tapia Celebration of Diversity in Computing, USA
• 2016, Grace Hopper Scholar - Google Recipient, USA
• 2016, Hacker at the Port Hackathon, CERN
• 2016, Scholar Port Humanitarian Hackathon, Geneva, Switzerland
• 2016, Hackathon recipient for the NYUAD Hackathon, New York University Abu Dhabi (NYUAD)
• 2015, Best Innovator, Millennium IT, Sri Lanka
• 2015, Academic Colours, APIIT, Staffordshire University
• 2014, The Google Anita Borg Memorial Scholarship Recipient, Japan
• 2014, Guest Speaker, Women Tech Maker Event, Sri Lanka

The Google Anita Borg Memorial Scholarship, 2000 USD

ACM Richard Tapia Celebration of Diversity in Computing, 1000 USD

UUP Individual Development Award, 1600 USD

Multi-Layer Co-Expression Networks: Insights into Gene Expression Variability and Regulatory Interactions, This study investigates gene co-expression variability across tissues, distinguishing genetic polymorphism-driven expression from other regulatory mechanisms.

• 2021-2022, Research administration and reporting on social network datasets. Designed a dynamic web interface to visualize social networks.
• 2024, Led the deployment of managed computers by utilizing modern management tools to streamline processes.

• 2025, Multi-Layer Co-Expression Networks: Insights into Gene Expression Variability and Regulatory Interactions, Eighth Northeast Regional Conference on Complex Systems, NERCCS 2025, Extended Abstract
• 2015, Real-Time Sign-Language Learning Tool for Sri Lanka, Poster Publication, Grace Hopper Celebration India

• 2025, The IEEE, Member
• 2025, The American Society of Human Genetics (ASHG), Member
• 2025, International Association of Engineers, Member
• 2025, Models of Infectious Disease Agent Study (MIDAS) network, Member
• 2023-2025, Certified Carpentry Instructor

2023, Organized Pan Genome Workshop, providing hands-on experience constructing and analyzing pan genome graphs for computational biologists.

• 2023, Certified Carpentry Instructor, Evidence-based teaching practices and pedagogical concepts.
• 2015, Lecturer in Robotics, Auston Institute of Management Ceylon Ltd, Sri Lanka, Conducted lectures for the Schools and University Students while providing mentorship to participate in national and International Robotic Competitions.

• Modelling Methane Emissions from Rice Paddies Using Machine Learning, 39th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2024
• A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California, Australasian Conference on Data Science and Machine Learning, 2023
• One-Class Classification-Based Machine Learning Model for Estimating the Probability of Wildfire Risk, Procedia Computer Science, 2023
• An assessment of existing wildfire danger indices compared to one-class machine learning models, Natural Hazards, 2024
• Evaluating the boundaries of Big Data environments for Machine Learning, AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint Conference, Adelaide, SA, Australia, 2019
• A Framework to Estimate the Water Content in Leaves by Image Processing and Data Mining, Fourth International Conference on Climate Change Adaptation, 2015, Sri Lanka
• Atmospheric modelling for wildfire prediction- Impact of Biomass Burning on Earth’s Radiation Budget, Air Quality and Human Health, 2025
• The Power of One-Class Classification Models in Wildfire Risk Prediction, Fire Ecology, 2025, Accepted
• Teaching and Learning Experience with the Kahoot Feedback System, Journal of Information Technology Education: Research, 2025, Submitted
• Machine Learning Approaches for Predicting Methane Emissions Post-Wildfire in Australia, European conference on Artificial Intelligence, 2025, Submitted
• Advancements in Explainable Machine Learning Models for Wildfire Prediction in New Zealand, Thirteenth International Conference on Geographic Information Science, 2025, Submitted
• Big Data Blueprint Architecture for Large Organizations, 24th Industrial Conference on Data Mining
• Interpretable Machine Learning for Wildfire Forecasting: A New Zealand Perspective, GIScience, 2025, Submitted
• A Harmonized Multi-Source Wildfire Dataset for California and Western Australia for Risk Modeling, Nature Scientific Data, 2025, Submitted
• Generative AI for Bioinformatics: Foundations, Applications, Tools, and Future Directions, Briefings in Bioinformatics, 2025, Submitted
• Recent Trends and Tools in Pangenome Graph Analysis: A Comprehensive Review, Briefings in Bioinformatics, 2025, Submitted
• Deep Learning for Regulatory Genomics: A Survey of Models, Challenges, and Applications, Bioinformatics Advances, 2025, Submitted
• Pan Genome graphs in infectious disease: A comprehensive genetic variation analysis of Neisseria meningitidis leveraging Oxford Nanopore long reads, Frontiers in Genetics, 2023
• An Integrated Genomics Workflow Tool: Simulating Reads, Evaluating Read Alignments, and Optimizing Variant Calling Algorithms, 12th International Conference on Bioinformatics and Computational Biology (ICBCB 2024), 2024
• Revolutionizing bacterial Genomics: Graph-based strategies for Improved Variant Identification, 12th International Symposium on Applied Computing for Software and Smart Systems, 2025, Accepted
• Mars: Simplifying Bioinformatics Workflows through a Containerized Approach to Tool Integration and Management, Bioinformatics Advances, 2025
• Software as a Medical Device: Design and Compliance, 17th International Conference on Computer and Automation Engineering (ICCAE), 2025
• Blockchain in the Healthcare Industry, IEEE Region 10 Symposium, 2025

2023-2024, Organized cultural events in Dunedin Tamil Society, New Zealand.