PhD and Postdoctoral Researchers

PhD and Postdoctoral Researchers

Samira Akili, Researcher, HU

"My research is on methods of distributed data stream processing. I cooperate with Hermann Stolte, who uses appropriate procedures for the scheduling of observations in astrophysics."

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Contact:akilsami@informatik.hu-berlin.de

Valery Brinnel, Doctoral Researcher, HU

"I am one of the core designers and former main developer of the AMPEL project ( https://github.com/AmpelProject/Ampel-core), working closely with Nicolas Miranda."

Contact: vbrinnel@physik.hu-berlin.de

Leo Choubrak, Postdoctoral Researcher, HZB

"I am working on high-throughput combinatorial research of kesterite thin films, which is the data basis for Christian Utama's artificial intelligence project."

Contact: leo.choubrac@helmholtz-berlin.de

Ivo Daniel, Doctoral Researcher, TU

"I am Associated HEIBRiDS Doctoral Researcher.  My research is on data-driven approaches for anomaly detection in water distribution networks."

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Contact:ivo.daniel@tu-berlin.de

Luisa Esguerra Rodriguez, Doctoral Researcher, DLR

"I am working closely with Elizabeth Robertson on a related project."

Contact:luisa.esguerrarodriguez@dlr.de

Suman Ghosh, Doctoral Researcher, TU

"My PhD project is on image processing and computer vision. I support Brian Groenke in remote sensing image analysis of e.g. permafrost data."

Contact:samrat.ghosh@campus.tu-berlin.de

Peter Hirsch, Doctoral Researcher, MDC

"I am an Associated HEIBRiDS Doctoral Researcher, working on the development and application of novel methods to analyze cells and cell lineages in a high throughput manner."

Contact:peter.hirsch@mdc-berlin

Benjamin Karg, Doctoral Researcher, TU

"My research is located on the overlapping areas of control engineering and artificial intelligence. One major aspect of my work is to provide means of stochastical and optimization-based nature to provide guarantees on the safety and performance of neural networks controllers derived via deep learning. One exemplary usage of the techniques developed in my research is the embedded implementation of optimization-based sensor fusion problems as the ones explored in Felix Fiedler's research project."

Period of contribution: 2018 - 2019

Contact:benjamin.karg@tu-berlin.de

Remo Monti, Doctoral Researcher, MDC

 "In my research I develop  and apply deep learning models to study gene regulation. I then incorporate the predictions of these models into genetic association tests, which allows me connect gene-regulatory mechanisms and disease. Specifically I am interested in kernel-based association tests that incorporate prior knowledge, and interpretable deep learning models that leverage data from multiple species."

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Contact: Remo.Monti@mdc-berlin.de

Ana-Catalina Plesa, Postdoctoral Researcher, DLR

"My research focus lies on forward modeling of the interior dynamics of rocky planets. I combine global-scale geodynamic models with observational constraints to improve our understanding of the interior evolution of Mars and Venus. Within the HEIBRiDS research program I closely collaborate with Siddhant Agarwal to combine machine-learning techniques with geodynamic modeling that will help to constrain key parameters for the thermal evolution of terrestrial planets."

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Contact:tristan.petit@helmholtz-berlin.de

Karol Polczynski, Postdoctoral Researcher, HZB

"I do research on molecular dynamics computer simulations of solid-liquid interfaces and supports the multi-scale / data-science project of Thorren Gimm by providing a large amount of trajectory data on molecular-level structures of hydrated nanodiamonds."  

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Contact:karol.palczynski@helmholtz-berlin.de

Cristian Rasmussen, Doctoral Researcher, AWI

"My expertise is in subaquatic permafrost environments and I work closely with Brian Groenke. I provide Brian with knowledge of the physical processes in permafrost environments, while Brian provides me with technical expertise in developing analytical tools."

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Contact:christian.rasmussen@awi.de

Alexander Renz-Wieland, Doctoral Researcher, TU

"I collaborate with Sergey Redyuk on machine learning supported data analysis. My research focus is on systems for large-scale machine learning."

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Contact: arw@dima.tu-berlin.de

David Rößler, Doctoral Researcher, FU

"In my doctoral project, I deal with the subject areas of E-Mobility & Smart Grids and Railway Delay Management and apply methods of applied operations research and data science. I work in a related topic with Paolo Graniero, with whom I exchange ideas both technically and methodically."

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Contact: david.roessler@fu-berlin.de

Sepideh Saran, Doctoral Researcher, MDC

 "I am Associated HEIBRiDS Doctoral Researcher, employing Implicit Generative Models and Latent Variable models to learn meaningful representations of multi-omics datasets and to analyze them for a secondary biological application. My focus is on tailoring the solutions to cope with the limitations of biological datasets, interpretability of the results, as well as model performance and reusability."

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Contact: Sepideh.Saran@mdc-berlin.de

Magdalena Stefanova Vassileva, Doctoral Researcher, GFZ

"I colaborate and offer advice to Binayak Ghosh."

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Contact:magdalena.stefanova.vassileva@gfz-potsdam.de

Max Schubach, Postdoctoral Researcher, Charité

"I am bringing several years of experience with computational methods for prioritizing functional variants. I have extensive knowledge of Bioinformatics, classical Machine Learning as well as Deep Learning models, and ample experience with their computational implementation. My efforts in developing genome-wide predictors of regulatory effects align closely with Lusine Nazaretyan's project of improving a genome-wide predictor of variant pathogenicity."

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Contact:max.schubach@bihealth.de

Mario Sänger, Doctoral Researcher, HU

 "I am Associated HEIBRiDS Doctoral Researcher. My research topic is on the representation learning for corpus-level biomedical relation extraction."

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Contact: saengema@informatik.hu-berlin.de

Jonas Traub, Postdoctoral Researcher, TU

"My research interests include data stream processing, sensor data analysis, and data acquisition from sensor nodes. I have authored several publications related to data stream gathering, processing and transmission in the Internet of Things. In the context of HEIBRiDS, I work with Sergey Redyuk in the area of scalable data analysis".

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Contact:jonas.traub@tu-berlin.de

Danbi Yoo, Doctoral Researcher, HZB

"My PhD project can be regarded as experimental counterpart of Peter Tillmann's PhD project in data science. Peter is simulating the energy yield of different kinds of solar modules using realistic weather data including forecasts by machnine learning methods. I develop light management textures for these solar modules, aiming at generating energy yield data from photovoltaics outdoor testing facilities. At the end these experimental energy yield data will serve as input for Peter's computations."

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Contact: danbi.yoo@helmholtz-berlin.de