Anna Georgieva Kondic is a mathematician by training, receiving her PhD in Mathematical Physics from Duke University in 1998. Anna is a native of Bulgaria, she came to the US in 1989 to complete her undergraduate studies in mathematics at Denision University in Granville, Ohio, where she graduated magna cum laude and as a presidential medalist in 1992. Following her PhD, Anna worked as a postdoctoral fellow in inhalation computational toxicology, evaluating the long-term risks of inhaled formaldehyde in humans using computational fluid dynamics and physiologically-based pharmacokinetic modeling.
After a two year visiting professor position at New Jersey Institute of Technology, Anna joined the preclinical modeling group at Novartis Pharma, focusing on arthritis and osteoporosis. Through various reorganizations, Anna spent some time in the modeling group within the Biomarker department focusing on both bioinformatics methods for discover, as well as mechanistic models and eventually landed in the larger modeling group supporting the whole continuum of research and development. Anns's therapeutic area experience is diverse as she has worked to support arthritis, osteoporosis, Oncology, diabetes and cardio-vascular disease using both empirical and mechanistic models to aid quantitative decision making.
During the last 4 years, Anna has been at Merck, starting first as an individual contributor and then transitioning to lead the quantitative support for CV and women's health and then for oncology. during the last two years, the focus has been to devise and implement the filing strategy for Keytruda, whiose clinical pharmacology strategy and dose selection heavily rely on popPK and exposure-response models, This strategy has successfully lead to the approval of Keytruda in the large melanoma indication, (biomarker enriched )2L NSCLC patient population in US and 2L HNSCC. PK/PD arguments are being used to transition the drug to a fixed dose, possibly creating a competitive advantage through decreased wastage and less potential for errors.
Between 2003 and 2008, Anna attended NYU Stern School of Business where she graduated from with an MBA specializing in negotiations (she was also was the TA for a negotiations class in 2006-07). Anna's interest lies in how to reconcile the interests of different parties and how to expand the pie, so that everyone walks away with a positive feeling about a deal. Anna structured a more than 2 mil deal with Entelos on the creation of a mechanistic model of blood pressure regulation with specific emphasis on the kidney.
Throughout her career, Anna has mentored a number of PHD students, postdocs and junior scientists.
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