Team

Alexander von Lühmann is currently the head of the independent research group “Intelligent Biomedical Sensing (IBS)” at BIFOLD, Machine Learning Dept, TU Berlin. He is also a visiting researcher at the Neurophotonics Center of Boston University (BU NPC) and Chief Scientific Officer at NIRx Medical Technologies. Previously, he was R&D director at NIRx, post-doc at BU NPC, visiting researcher at the Martinos Center of Harvard Medical School in Boston, USA, and Chief Technology Officer of Crely, a US-Singapore-based healthcare startup. He received his PhD (Dr.-Ing.) with distinction in 2018 from Technische universität Berlin (TU Berlin) and the M.Sc. and B.Sc. degrees in Electrical Engineering from Karlsruhe Institute of Technology (KIT) in 2014/11.

I graduated in astroparticle physics and gained much of my experience while working on neutrino telescopes in Siberia and Antarctica. These experiments instrumented large bodies of water and glacial ice with optical sensors to detect the faint light created by cosmic-ray particles interacting with matter. Subsequently, I transitioned to the field of neuroimaging with a focus on improving the digital signal processing of functional near-infrared spectroscopy (fNIRS) imagers, specifically in the context of assessing side-effects and potential improvements of deep brain stimulation for Parkinson's disease. Eventually, my role in a small team involved overseeing the software development of a portable near-infrared spectrometer from conception to market release. Further on, as a freelancing scientific software developer I contributed to diverse projects, such as forecasting financial time series and improving the safety of industrial plants by using spectroscopic measurements from remote sensors to infer the distribution of leaked gas clouds.

coming soon

I am a Master's student in mathematics at Technische Universität Berlin. I earned a bachelor's degree in mathematics and computer science from TU Berlin. During my bachelor's, I focused on harmonic analysis and machine learning. For my Bachelor's thesis, I worked on neural networks and iterative algorithms for phase retrieval in ptychography. I also worked as a tutor in linear algebra in the Math Department.

I did my bachelor's degree in computer science at the University of Jena. In parallel, I was enrolled in mathematics and took courses in probability theory and numerics together with the mathematics students. My bachelor thesis was in the area of machine learning, in particular variational inference and some graph theory. During my Bachelor's, I also served as a tutor for discrete mathematics. I am currently pursuing a Master's degree in Computer Science at TU, focusing on machine learning and data analytics.

I hold a Bachelor's degree in Computer Science from the Polytechnic University of Saint-Petersburg, with a focus on Forward Error Correction coding theory. Currently, I am pursuing a Master's program in Computational Neuroscience at Technische Universität Berlin. In addition, I work as a Software Developer at NIRx Medizintechnik, contributing to the development and support of fNIRS Acquisition Software.

I studied Electrical Engineering as my bachelor’s degree program, my master’s degree is in Biomedical Engineering. I am an Erasmus student from University of Ljubljana, Slovenia. I worked at Jozef Stefan Institute in Ljubljana, which was my introduction to the research field. The research topic I contributed to was motor learning under different conditions. We observed how well subjects learn new movements, depending on whether they know which movement is coming next, or if they know the sequence of the next movements.

I hold a bachelor’s degree in electrical engineering with a specialization on automation. Currently, I’m enrolled in a master’s program in data science. Throughout my bachelor’s I worked in the R&D Electronics and Gas Detection department of MSA Safety, while also working as a tutor for C programming at my university. At MSA Safety my focus was test design, automation, and analysis of mixed signal gas sensor systems.