Leonardo Pacciani-Mori

Data Scientist / Data Analyst

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About me

I am a Scientist by training, with a background in Physics and research experience in both theoretical and experimental Biophysics, currently transitioning into Data Science.

My research journey evolved from theoretical into experimental Biophysics, equipping me with rigorous analytical thinking and practical problem-solving, while also giving me strong mathematical and analytical skills and the ability to extract meaningful insights from data. During my postdoc, my growing fascination with data analysis led me to independently explore the broader world of Data Science, teaching myself Machine Learning techniques, Deep Learning frameworks and generative AI approaches well beyond what was required for my research. This self-directed learning solidified my decision to make Data Science my next career step.

My academic journey in an interdisciplinary field like Biophysics has made me fluent in multiple “scientific languages”, allowing me to translate complex concepts between specialists with different perspectives, a skill directly applicable to bridging technical and business domains in Data Science. I excel at transforming abstract questions into concrete data acquisition strategies, identifying what information is needed to answer specific problems. The mindset I acquired thanks to my academic career helps me bridge the gap between business challenges and data-driven solutions.

Working in a lab has also taught me how to work in highly collaborative environments, as excellent communication and coordination with other lab mates is essential in order to reach the group’s research objectives. I am also always eager to step outside my comfort zone and learn new skills and technologies, like I did learning complex Biology concepts needed for my research projects or using new computational or experimental techniques to solve research challenges.

With the expertise I acquired in my academic career, plus the skills I learned on my own, I bring both technical proficiency and scientific curiosity to all data challenges I face.