Varun Giri

In my role, I collaborated with various business functions to shape and execute a comprehensive digital roadmap for a €500M+ global business unit. I led a team focused on enhancing digital maturity and data-driven decision-making, while successfully optimizing the digitalization cost structure, achieving significant savings. My efforts ensured alignment with global enterprise architecture and improved governance across digital initiatives.

I ensured the integrity and compliance of toxicology data while driving innovative digital solutions. I developed a roadmap for FAIRification, enhancing data accessibility for advanced analytics. Collaborating with various stakeholders, I harmonized data standards to support regulatory submissions and represented the company in influential industry consortia.

Analysis of metabolome and microbiome data sets; methods for automating MS data processing. Digitalization and integration of toxicological data for modeling.

Analysis and model development of data from toxicological studies (in vivo and in vitro) for statistical evaluation and mode of action identification, with focus on metabolomics data sets.

I engaged in pioneering research on auto-catalytic chemical processes, employing advanced analytical techniques. My role involved designing innovative experimental setups and frameworks for data interpretation, which facilitated a deeper understanding of chemical reactions.

Designed synthetic reaction pathways and conduct feasibility assessment for bio-based production of high value-add chemicals.

• Developed data mining algorithm for extraction of reaction transformation patterns from biochemical reaction database and prediction of novel biochemical reaction pathways. • Designed synthetic reaction pathways and conduct feasibility assessment for bio-based production of high value-add chemicals. • Performed strain optimization for incorporation of synthetic pathways using constraint based modeling (Flux Balance Analysis). • Developed R package (RxnSim) to compute molecule and reaction similarity for p

• Developed data mining algorithm for extraction of reaction transformation patterns from biochemical reaction database and prediction of novel biochemical reaction pathways. • Developed algorithm for simultaneous multi-gene knockouts simulations.

Developed algorithms and applications for embedded systems, particularly, RF mesh networks and automated meter readers.

Developed software package for Gas Chromatography.

Thesis title: Modeling pre-biotic self-organization: The chemical dynamics of autocatalytic networks Advisor: Prof. Dr. Sanjay Jain • Studied an artificial chemistry to understand the impact of an autocatalytic network structure on the populations of constituent chemical species and its possible im