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Jia Chen's research focuses on climate change and urban air pollution. He develops novel optical sensors and methods and atmospheric models to localize and quantify greenhouse gas emissions and understand the metabolism of air pollutants in urban environments. He has established a worldwide city sensor network based on a novel method of differential column measurements (MUCCnet). His pioneering work enables long-term assessments of urban greenhouse gas and pollutant emissions. Chen's research topics include sensor development, emission monitoring of greenhouse gases and air pollutants, atmospheric modeling, computational fluid dynamics, semantic kriging, ground and satellite-based remote sensing, Fourier transform spectrometry, and tunable diode laser absorption spectroscopy. He studied electrical engineering at KIT (Dipl.-Ing.) and was awarded a PhD (summa cum laude) from TUM. From 2011 to 2015, he was a postdoctoral fellow at Harvard University. In 2015, he became a professor for Environmental Sensing and Modeling at TUM. Chen is an associate at Harvard University and a (co-)author of more than 180 publications and 12 patents. In 2020, he was named Germany's 'Top 40 under 40' by Capital Magazine, and in 2021, he was selected as a member of the Global Young Academy.