BIO
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BIO
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Bio
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Bio
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Bio
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Bio
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DC7 Yangfan Xu
This project integrates plasma proteomics (Olink) and single-cell RNA sequencing (scRNAseq) with clinical data to develop AI-assisted approaches for diagnostics and personalized clinical decision-making. By linking molecular and cellular host status to sensor-based readouts (e.g. sepsis monitoring), the project aims to build predictive, data-driven models that support real-time treatment decisions based on host response.
DC8 Ugur Mert Ulutanir
Develop expertise in graphene synthesis by chemical vapor deposition (CVD), graphene characterization and optimization, and the fabrication of graphene-based biosensors using the state-of-the-art Myfab Chalmers nanofabrication facilities. The project involves microfabrication, device functionalization, electrical and electrochemical characterization, sensor integration, and biosensor performance evaluation. It also includes scientific communication through publications, conference presentations, doctoral training courses, and interdisciplinary collaboration.
E-mail: ulutanir@chalmers.se
Bio
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DC10 Jyoti Kiraula
This project will focus on the synthesis and pore formation of oxo-Graphene in controlled conditions. These pores will then be functionalized to add groups which can interact with biomolecules. The synthesis and characterizations will be done using the state-of-art facilities available at the SupraFAB to precisely quantify the flake size, defects, pore size and functionalities of the oxo-Graphene. The aim of this work is to create identical functionalized oxo-graphene flakes with minimal defects to maintain the repetitively of the tests and ensure accuracy and reliability of graphene based biosensors.
Bio
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DC12 Anran Miao
This project focuses on the identification and selection of clinically relevant biomarkers associated with chronic wounds, followed by the development of high-affinity and high-specificity aptamers targeting these biomarkers. By establishing an aptamer library, the project aims to provide reliable biorecognition elements for graphene-based biosensing platforms. The resulting aptamers will serve as a foundation for the subsequent structural engineering of bioreceptors and the development of sensitive, selective, and rapid biosensors for chronic wound diagnostics.
DC13 Sudakshya Sucharita Lenka
To identify bacterial strains and their antibiotic resistance in real time, the BUG-ID network leverages the sensitivity of graphene. Anchoring biological receptors onto nanomaterials often causes them to distort and lose detection power. My doctoral research solves this structural bottleneck by bridging predictive biophysical modeling with benchtop biochemistry. Using molecular dynamics (MD) simulations and density functional theory (DFT), I design protective molecular linkers and stabilizing mutations. Then, validate them via wet-lab cloning and protein engineering. This integration of dry-lab and wet-lab validation establishes a design framework for next-generation biosensors.
Bio
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DC15 Yujing Ke
