Having a strong background in spectroscopy and instrument development from my PhD and master program, I went to industry.I focused a lot on data treatment complementing my deep understanding of physical and chemical processes. This includes state-of-the-art machine learning algorithms as well as data preprocessing.I established
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Lead Data ScientistAi-Predict GmbhMunich, By, De -
Data ScientistAi-Predict Gmbh Apr 2024 - PresentFriedrichshafen, Baden-Württemberg, GermanyFocussing on revolutionizing the coatings industry with machine learning and artificial intelligence.Development and improvements of neural nets with small datasets. -
Data ScientistCamag Jan 2022 - Apr 2024Muttenz, SwitzerlandThree main tasks:1) Software tool for supporting method development for lab chemists: ★ Described first step: gas phase description via ordinary differential equations ★ Wrote first version of software tool in python ★ working on next step (ongoing)2) Classification and anomaly detection ★ Developed machine learning algorithm for classification adapted to specific data ★ Developed a deterministic feature extraction method ★ working on a transparent algorithm to classify and detect anomalies3) Supporting data processing of new UV/vis detector ★ accelerated some existing algorithms of data processing ★ supported testing setup to calibrated instruments ★ finalizing product release (ongoing) -
ScientistCamag Nov 2018 - Dec 2021Basel Metropolitan AreaMain tasks:1) data acquisition ★ laid foundation for data reproducibility ★ highlighted benefit of an advanced baseline correction and wrote algorithm ★ identified existing limitations and overcame it with new propositions2) theoretical description: ★ found linear relationship between signal and substance amount ★ developed a theoretical description of differences in retention factors (separability of substances) ★ amended shortcomings in literature -
Postdoctoral Research AssistantÉcole Polytechnique Jan 2018 - Feb 2018Palaiseau, FranceContinuation and finalization of PhD topic -
Phd StudentEcole Polytechnique Oct 2014 - Dec 2017Palaiseau, FranceDevelopment of a novel extension of a time-resolved spectroscopic method: Combination of UV circular dichroism and T-jump on a milisecond to second time scale in order to study Guanine quadruplexes (G4)The study of the thrombin binding aptamer (TBA-G4) and its related triplex structure (TBA-G3) revealed that it is highly unlikely that the latter is a folding intermediate of the former.A comparison of telomeric G4 (Tel21 and Tel22) in sodium solution showed no indication of a folding intermediate. An increase of sodium concentration revealed an accelaration of folding.Collaborations with DISCO/Soleil are promising and aim to perform UV time-resolved circular dichroism over a broad spectral range. This work is still ongoing.Studies on c-MYC have been performed an will be continued by my successor. -
InternshipBasf Jul 2012 - Sep 2012Ludwigshafen, GermanyDFT calculations to evaluate frustrated Lewis pairs as hydrogenation catalysts (transition state calculations).Department: Material Physics & AnalyticsUnit: Molecular Modeling
Marco Schmid Phd Education Details
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Physics -
Mathematics -
Physics -
Physical, Theoretical And Organic Chemistry -
Chemistry
Frequently Asked Questions about Marco Schmid Phd
What company does Marco Schmid Phd work for?
Marco Schmid Phd works for Ai-Predict Gmbh
What is Marco Schmid Phd's role at the current company?
Marco Schmid Phd's current role is Lead Data Scientist.
What schools did Marco Schmid Phd attend?
Marco Schmid Phd attended Ecole Polytechnique, Fernuniversität In Hagen, Université Paris-Saclay, Julius-Maximilians-Universität Würzburg, Ecole Supérieure De Chimie Physique Electronique De Lyon, Julius-Maximilians-Universität Würzburg.
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