MPLS Enterprise and Innovation Fellows 2023-24

Ping Lu

 Dr Ping Lu is a scientist.  She is passionate about computer vision, machine learning and healthcare. She gained her post-doctoral research experience in medical imaging and biomedical signal analysis at the Institute of Biomedical Engineering, Department of Engineering Science.  She holds a PhD in Biomedical Engineering from the University of Bern, Switzerland. She studied computer science for both her bachelor's and master's degrees.

Massimo Mariello

Massimo holds a BSc (Industrial Engineering, 2015) and an MSc(2017)/PhD(2021) in Materials Engineering and Nanotechnology (University of Salento, Italian Institute of Technology, Italy). He worked on flexible piezo-triboelectric nanogenerators for biosensing/energy-harvesting. As postdoctoral scientist at EPFL (Switzerland, 2021-2023), he worked on thin-film implantable neuroprostheses. His research involves micro-devices, soft (bio)materials, translational medicine. He is currently senior postdoctoral researcher at the IBME (Department of Engineering Science, University of Oxford) in advanced bioelectronics. He is member of the Italian Professional Body of Engineers and Standard-Bearer of Labour of the Italian Republic.

Pawel Puczkarski

Pawel is an expert in nanotechnology and nanoelectronics. He obtained his DPhil from Materials Department at Oxford, where he specialized in graphene and molecular electronics. Upon completion of his DPhil course he was awarded with EPSRC Doctoral Prize. Successively he took on a postdoctoral researcher position at the Department of Chemistry at Oxford, where he specializes in biosensing and single particle detection. Pawel is interested in science communication as well as science policy and creation of vibrant scientific environment where innovation can thrive.

Chenyang Wang

Chenyang Wang is a Postdoctoral researcher at the CHI Lab within the Institute of Biomedical Engineering. His research focuses on advancing innovative machine-learning and deep-learning approaches in the field of healthcare. Chenyang completed his DPhil in Engineering Science at the University of Oxford, where his thesis delved into deep-learning methods for predicting drug resistance in Mycobacterium tuberculosis based on genome data. He was a Clarendon scholar and a member of Keble College. 

Sophie Shang