Andrianirina Rakotoharisoa

Information

Bio

I am a Machine Learning Researcher and PhD candidate specializing in Generative AI, computer vision, and anomaly detection for remote sensing. My work is built on a strong background of applied mathematics and deep learning, which I studied during my master's. As part of my PhD project, I focused specifically on super-resolution and diffusion models. Before my PhD, I worked as a system engineer and data scientist, improving my company’s cloud and HPC infrastructures. Today, my primary objective is to continue bridging the gap between academia and industry and translate stimulating research questions into robust, scalable solutions that solve real-world problems.

Current Role

Currently, I am writing my PhD thesis on emissions monitoring and the application of AI to climate-related issues. I expect to defend my PhD in a couple of months.

Areas of Expertise

My expertise lies in several key areas of mathematics and machine learning, including probabilities and statistics, linear algebra, and Bayesian inference. These specializations are the foundation upon which I build my machine learning and deep-learning models. I believe they can significantly benefit ESA Φ-lab CIN.

Vision for the Future

Dedicated to using AI for societal good, I envision a future where machine learning is at the forefront of climate action. My long-term goal is to build upon my current work in greenhouse gas monitoring to develop scalable AI solutions. By extracting valuable insights from complex remote sensing data and informing actionable strategies, I aim to enhance our responses to extreme events and protect both our biodiversity and vulnerable populations.

Project as CIN Researcher

Coming Soon