Flaviu Cipcigan

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Research

I am interested in the broad intersection between computing and science. I research new algorithms, discover new insights about nature and am interested in the the foundational role of information in physics.

I work as a Staff Research Scientist at IBM Research, where I lead a programme of research on AI for molecular and materials design, with a focus on Foundation Models and new approaches to generative AI.

Research highlights include the discovery of antimicrobial peptides (one paper on cover of ACS Nano) and carbon dioxide capture molecules and porous solids (cover of Digital Discovery).

I received a PhD in physics from the University of Edinburgh. My thesis reported the first electronically coarse-grained molecular model of water and showed it predicts water behaviour throughout its phase diagram. My research established electronic coarse-graining as arguably the most powerful technique for accurate and efficient calculation of forces between molecules.

Awards

My work has been recognised with a Forbes 30 under 30, a 2021 IBM Pat Goldberg Award (selected out of thousands candidates), three IBM Technical Accomplishments and two journal covers. My PhD was shortlisted for a national prize and so was my undergraduate research. I also won multiple presentation awards. During high school, I competed in national maths and physics Olympiads (earning silver and bronze) and co-authored my first conference paper on anomalous spreading in the mid Atlantic ridge.

Collaborations

I supervise:

I collaborate with researchers in the Hartree National Centre for Digital Innovation to help companies adopt AI. My research helped AstraZeneca improve the design of new drug modalities and Ingenza to design antimicrobial peptides.

Other

Besides research, I dance tango, lift weights and enjoy communicating science. I co-founded a volunteering organisation in Manchester, wrote about the connection between science and art, worked on algorithmic music composition and made a glass sculpture expressing my research.

Contact

I read emails at hello(at)[this-domain].com and my DMs are open on LinkedIn.