Bekzod Khakimov

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SCIENTIFIC FOCUS AREAS

Foodomics

Metabolomics

Multivariate Data Analysis

Analytical Chemistry

Nuclear Magnetic Resonance (NMR) spectroscopy

Gas Chromatography-Mass Spectrometry (GC-MS)

Liquid Chromatography-Mass Spectrometry (LC-MS) 

 

EDUCATION

2013                        PhD in Plant Metabolomics, Department of Food Science, University of Copenhagen

2009                        MSc in Chemical Research, Queen Mary, University of London, UK                             

2006                        BSc in Chemistry, Faculty of Chemistry, National University of Uzbekistan

 

POSITIONS

2017 - present          Associate Professor, Department of Food Science, University of Copenhagen

2013 - 2017             Postdoc, Department of Food Science, University of Copenhagen

2010 - 2013             PhD fellow, Department of Food Science, University of Copenhagen

 

AWARDS

2016                       Nils Foss Talent Prize, International Award for a ground-breaking science in the area of advanced technologies for improved food quality and safety, FOSS Analytics, Denmark

2015                       The Best Young Investigator Award in Plant Metabolomics, 10^th International Conference of the Metabolomics Society, San Francisco, USA

 

TEACHING 

Responsible         Foodomics and Plant Foods, Full Degree Master Course, 7.5 ECTS

Teacher                Thematic Course in Food Science and Technology, Full Degree Master Course, 7.5 ECTS

Teacher                Quantitative Bio-spectroscopy, Full Degree Master Course, 7.5 ECTS

Teacher                Advanced Carbohydrate Technologies, Full Degree Master Course, 7.5 ECTS

 

SUPERVISION 

Currently I am a main supervisor of three postdocs, one PhD student and two MSc students

 

RESPONSIBILITIES 

Responsible for four high-throughput GC-MS systems (incl. Agilent GC-singleQ-MS, LECO Pegasus HT GC-TOF-MS and Bruker EVOQ QQQ systems), one LC-QTof-MS (Bruker Impact II), and one LC-UV/Vis-FC system (Thermo Ultimate 3000)

Co-responsible for three Nuclear Magnetic Resonance (NMR) spectrometers from Bruker (600, 500, and 400 MHz)

 

FUNDING ACQUIRED AS PRINCIPAL INVESTIGATOR (PI)/Co-PI

2022 – 2025        CoPI - Learning to EXplore the 2^nd Order Advantage of 2D NMR (LEX2), Source: Independent Research Fund Denmark

2020 – 2023        PI     - Introduction of statistical causality modelling and deep learning to solve the cage of covariance problem in Foodomics/Metabolomics, Source: UCPH Funding

2019 – 2022         CoPI - Low molecular weight compounds in milk and dairy streams - a potential new source for value added products (MilkStreamValue), Source: Danish Dairy Research Foundation                            

2018 – 2021          PI -    Erasmus+ Credit Mobility with Partner Countries (Training students and staff members of HEIs in Uzbekistan at UCPH), Source: European Union

 

Google Scholar: https://scholar.google.dk/citations?user=vhBBNdUAAAAJ&hl=en