My academic background spans various disciplines, with a strong focus on operations research, computational optimization, and algorithm development. Additionally, I have gained considerable knowledge in data science and machine learning, along with analytical skills. Currently, I am engaged in the area of conservation biology to develop computational tools to support decision-making in conservation within multiobjective optimization frameworks.

My expertise lies in modeling and designing efficient algorithms to tackle complex problem domains. I have actively contributed to several algorithm development projects in optimization and data science. Additionally, I am skilled in various programming languages such as Python, R, and MATLAB, as well as possessing skills in SQL, which allow me to effectively implement the developed algorithms.

Looking forward, my focus remains on advancing optimization algorithm design by leveraging computational tools and methodologies. I am enthusiastic about applying optimization techniques to solve real-world challenges across various industries, scientific fields, and medical domains. The adaptable nature of optimization allows for its application in diverse contexts, and I am dedicated to leveraging my skills to make meaningful contributions that positively impact society.

← Back to Our Team