As the Director of Scientific Engagement, Team Lead for AI & Analytics, and Principal Scientist at BioLizard, I am responsible for defining and executing the company strategy around solutions & services. Within the role, I lead and manage teams, strategize and execute our AI strategy & manage costumer engagement.

In my capacity as the Team Lead for AI & Analytics, I oversee various projects and provide AI expertise, adopting a holistic perspective on the implementation of analytical solutions. This involves IT architectural integration, efficient data management, software development for algorithm implementation, and data visualization for intuitive results presentation. My approach centers on collaborating with clients to customize AI projects and achieve their business objectives.

At BioLizard, I provided expert knowledge in Bioinformatics and Artificial Intelligence for diverse projects, primarily within the pharmaceutical and health science sectors but not limited to these industries. My primary focus was on designing and developing intelligent solutions using machine learning and artificial intelligence, as well as designing and providing IT infrastructure support to enable efficient use of data-driven technology.

Senior Technology Advisor in AI and Advance analyticsAs a Senior Technology Advisor specializing in AI and Advanced Analytics at KPMG, I leveraged my expertise to create data-driven solutions for clients across various industries, including Banking, Energy, and the Public Sector. My primary goal was to design and implement AI and machine learning solutions tailored to each client's needs, while also developing IT infrastructure strategies to ensure the seamless integration and efficient utilization of data-driven systems. By combining my technical knowledge with a strong understanding of industry-specific challenges, I was able to deliver actionable insights and drive business growth for our clients

managed and processed diverse data sets across multiple research projects, leveraging data mining expertise to devise and implement efficient analytical pipelines that expedited data-driven insightsTranslated complex analytical findings into easily digestible information for non-technical audiences, employing bespoke web-based tools and visualizations to convey results effectively and foster broader understandingSupervised various aspects of project management, encompassing data acquisition design and planning, ensuring seamless coordination and timely completion of research objectivesActively engaged in teaching and mentoring initiatives, providing valuable guidance to students in data mining methodologies and fostering their growth in understanding and expertise within the field

Specialized in bioinformatics for cancer research, focusing on neuroblastoma, a complex and aggressive pediatric cancerGained extensive experience in single-cell data analysis, enabling the dissection of cellular heterogeneity and the identification of novel cellular subpopulations and functional states in tumor samplesApplied machine learning techniques, including clustering, dimensionality reduction, and classification algorithms, to uncover patterns and insights within large-scale single-cell dataDeveloped and optimized computational workflows for processing, quality control, and analysis of single-cell RNA-seq and other single-cell omics data, ensuring rigorous and reproducible resultsCollaborated with interdisciplinary teams, integrating biological knowledge and computational findings to propose innovative therapeutic strategies and advance the understanding of neuroblastoma biology

Designed, implemented, and optimized advanced data mining and machine learning pipelines, enabling the comprehensive analysis of hundreds of diverse datasets to extract meaningful insights and drive scientific discoveriesDeveloped, launched, and maintained an engaging public website to effectively showcase research findings through interactive visualizations, successfully attracting 500 monthly users and adeptly managing a robust database containing millions of data pointsDemonstrated versatility and additional technical expertise by independently creating a user-friendly stand-alone software application as a side project, further expanding the impact and reach of research outputs