Kristine Deibler Email & Phone Number
@novonordisk.com
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Who is Kristine Deibler? Overview
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Kristine Deibler is listed as Director of AI and Analytics Centre of Excellence [Interim], DD&IT at Novo Nordisk at Novo Nordisk, based in United States, United States, United States. AeroLeads shows a work email signal at novonordisk.com and a matched LinkedIn profile for Kristine Deibler.
Kristine Deibler previously worked as Director of AI and Analytics Centre of Excellence [Interim] - Digital, Data & IT at Novo Nordisk and Associate Director - Molecular AI | Computational Drug Design at Novo Nordisk. Kristine Deibler holds Doctor Of Philosophy (Phd), Chemistry from Northwestern University.
Email format at Novo Nordisk
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About Kristine Deibler
Passionate about developing and applying new AL/ML approaches to drug discovery through advances in combining experimentation, computational tools and large-scale data analysis. Broad understanding of AI/ML methods including foundation, diffusion, graph-based, geometric models. Working to expand the impact of predictive and generative AI methods in pharma. 🚀 Background in organic chemistry 👩🔬 with a focus in medicinal chemistry and chemical biology now working in computational bio-therapeutic design 👩💻 with a focus on AI/ML for peptide/protein modalities.
Listed skills include Biochemistry, Cell Culture, Pcr, Cell Biology, and 8 others.
Kristine Deibler's current company
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Kristine Deibler work experience
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Associate Director - Molecular Ai | Computational Drug Design
Leading a global team focused on implementing and developing AI and structure-based drug design methods for synthetic modalities (small molecules, peptides and RNA-based modalities).Collaborating with interdisciplinary teams to develop and implement digital solutions for designing novel drug candidates that impact the therapeutic portfolio.Experienced.
Senior Scientist, Computational Drug Discovery
- Applying computational modelling and design algorithms to develop therapeutic peptides and mini-protein scaffolds.
- Developing workflows to curate computationally designed libraries for displayable screens (mRNA, phage, DEL, yeast).
- Applying DOE and ML methods to streamline therapeutic project development.
- Specific interest in advancing the use of data to improve the design of biased GPCR agonists.
- Lead for multiple external collaborations on the use of machine learning and molecular dynamics to advance drug discovery.
- Job rotation in the Chief Scientific Advisor Office focusing on (1) publishing high impact science and (2) implementing advanced computational methods to support our therapeutic pipeline.
Scientist Ii, Computational Drug Discovery
Washington Research Foundation Innovation Postdoctoral Fellow
- Washington Research Foundation Innovation Fellow (2017-2020)Advisor: Prof. David Baker
- Developed large scale protocol for the application of computationally designed peptides in expressible systems.
- Computationally designed, synthesized and tested peptidomimetic scaffolds against the GPCR apelin for the treatment of heart disease and applying general approach to target peptide binding GPCRs.
- Used synthetic knowledge to developed computational methods for incorporating small molecule therapeutics into stabilizing and selective cyclic peptide frameworks.Developed Skills and Techniques:Computational.
Patent And Innovation Technology Intern
Internship in the patent group, working on patent landscape searches and portfolio analysis.
Graduate Researcher
- NSF Graduate Research Fellow (2014-2017)Advisor: Prof. Karl Scheidt
- Completed key steps toward the total synthesis of a neuroactive natural product
- Developed methods to understand key structural features of MEK isoforms
- Designed, synthesized and optimized novel small molecule MEK4 inhibitors
- Optimized a nanomolar, nontoxic broad spectrum anti-cancer small moleculeDeveloped Skills and Techniques:Synthesis of small molecule drug like compounds and natural products. Characterization of small molecules and.
Undergraduate Researcher
- John V. Crable Fellow (2010-2012)Advisor: Prof. Partha BasuHonors Thesis title: “The Development of a New Generation of Fluorescent Sensors”
- Designed new heavy metal ion fluorescent small molecule sensors
Kristine Deibler education
Doctor Of Philosophy (Phd), Chemistry
Bachelor Of Science (Bs), Biochemistry Minor Mathematics
Frequently asked questions about Kristine Deibler
Quick answers generated from the profile data available on this page.
What company does Kristine Deibler work for?
Kristine Deibler works for Novo Nordisk.
What is Kristine Deibler's role at Novo Nordisk?
Kristine Deibler is listed as Director of AI and Analytics Centre of Excellence [Interim], DD&IT at Novo Nordisk at Novo Nordisk.
What is Kristine Deibler's email address?
AeroLeads has found 1 work email signal at @novonordisk.com for Kristine Deibler at Novo Nordisk.
Where is Kristine Deibler based?
Kristine Deibler is based in United States, United States, United States while working with Novo Nordisk.
What companies has Kristine Deibler worked for?
Kristine Deibler has worked for Novo Nordisk, University Of Washington, Comotion At University Of Washington, Northwestern University, and Duquesne University.
How can I contact Kristine Deibler?
You can use AeroLeads to view verified contact signals for Kristine Deibler at Novo Nordisk, including work email, phone, and LinkedIn data when available.
What schools did Kristine Deibler attend?
Kristine Deibler holds Doctor Of Philosophy (Phd), Chemistry from Northwestern University.
What skills is Kristine Deibler known for?
Kristine Deibler is listed with skills including Biochemistry, Cell Culture, Pcr, Cell Biology, Chemistry, Mass Spectrometry, Research, and Uv/Vis.
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