Andreas Schuh Email & Phone Number

Mountain View, Ca, Us

Silicon Valley startup, Level 42 AI, Inc’s software-defined hardware captures and synchronizes traditionally discarded or unobserved multi-modal data streams to predict and quantify health state, from short 5-to-30 second data snippets.Level 42 AI, Inc is conducting clinical studies to discover and validate COVID-19 biosignatures with Johns Hopkins School of Medicine (JHM) and University of California-San Francisco (UCSF). Level 42 AI, Inc’s COVID-19 biosignature is an AI algorithm that deploys state-of-the-art, proprietary domain-adaptable machine learning techniques to elucidate and differentiate early cellular and tissue mechano-transduction changes and the body's immune response to SARS-CoV-2 infection.Without the right algorithms to extract actionable insight, the real value of high-resolution sensor data fusion will remain hidden. Popular approaches such as Deep Learning model correlation, not causal relationships, and do not support extrapolation from the data. In contrast, Level 42 AI, Inc’s novel Structural Machine Learning (SML) platform, is a natural feedforward and feedback platform, where data causal relationships, exploration and exploitation can be achieved faster and more accurately to differentiate and learn across diseases.

Palo Alto, California, Us

• Improved product maturity from an initial in-house prototype to larger scale system evaluation at a major OEM car manufacturer. The Fiber Optics based system results in higher reliability of State-of-Charge and State-of-Health estimation of Li-Ion batteries,• Algorithmic improvements towards higher reliability of flow cytometry based mammal sperm sorting,• Development of optical fiber technology based realistic test-bed for detecting and analyzing failure modes in rail systems.

Ilmenau, Thüringen, De

• Development of novel atomic force microscope measurement strategies through hardware-, software- and algorithm development, modeling of dynamic systems and estimation towards for high resolution and high speed imaging of dynamic nanoscale processes of biological samples, in cooperation with the MIT.• Improved material imaging sensitivities of atomic force microscopes through MEMS sensor structural optimization,• Implementation of novel control algorithms into a commercially available AFM lithography system,• Publication of numerous research articles, patent submissions and dissertation.

Cambridge, Ma, Us

• Development of novel atomic force microscope measurement strategies through hardware-, software- and algorithm development, modeling of dynamic systems and estimation, e.g. useful for biological sample characterization,• Development of a patented laser and imaging sensor based robot localization and tracking system.

Ilmenau, Thüringen, De

• Improvements in control and mechanical designs for Atomic Force Microscope based nanometer resolution lithographic applications, • Major participation in successful grant proposal drafting.

Berkeley, Ca, Us

• Development of a fully automatic single ion implanter on top of on an existing ion implantation system, this towards the creation of future solid-state quantum computing devices.

Ilmenau, Thüringen, De

• Involved setting up a AFM probe manufacturing laboratory,• Involved in the development of novel High Electron Mobility Transistors,• Creation of user friendly Matlab GUIs for AFM controllers.

Gerlingen-Schillerhöhe, Baden-Wuerttemberg, De

• Automotive Hardware/Software co-design between an FPGA and MCUs.

Doctor Of Philosophy (Ph.D.), Electrical And Electronics Engineering

Electrical And Electronics Engineering

Master'S Degree, Electrical And Electronics Engineering

Bachelor'S Degree, Electrical And Electronics Engineering