Transitioning out of the corporate life. Exploring the intersection of data, design, and business/community-growing! Synthesizing my passions for building efficient processes, implementing robust technical analysis, and designing visual branding.

- Optimized business strategy, growth, and internal operations. Strengthened relationships with partners by aligning scientific and business incentives. - Managed client meetings and communication. Efficiently identified and creatively navigated internal procedural bottlenecks to deliver modeling proposals that maximized ROI for client and revenue margins for company. - Evaluated companies for business potential, by understanding the drug development market (following VC funding, IPOs, M&A, clinical trials, and preclinical R&D), and contracting of mathematics consulting services - Lead team for driving business ventures in West Coast and Asia - Liaised with marketing, legal, sales, and scientific teams to manage projects and effective communication between cross-functional teams

Thesis: Kinetic modeling, parameter estimation and model comparison in PET: Functional images of neurotransmitter dynamics and drug affinity, Advisor: Professor Evan D. Morris• Authored 13 publications (lead author on 5), >100 citations• Implemented dynamical systems simulations to develop mathematical model and computational algorithm for brain imaging data, aided by Monte Carlo analysis of parameter distributions and parameter identifiability• Developed and optimized computational pipeline to produce parametric 4D images of neurotransmitter dynamics, using novel statistical significance testing approach• Analyzed ‘dopamine connectivity’ in cigarette smokers using novel classification-learning algorithm to identify loci of similar dopamine release temporal profiles in response to cigarette smoking • Collaborated with local CRO and drove first-in-human modeling and analysis of voxel-resolution brain EC50/maximum occupancy estimates for flumazenil

• Organized weekly recitation sessions and office hours to help students with core concepts of probability and statistics, numerical methods, and analytical approaches for determination of quantitative parameters from experimental data• Received excellent student evaluation ratings that surpassed course benchmarks for quality: 4.85/5.00 (2018), 5.00/5.00(2019)

Thesis: Noninvasive head and neck cancer diagnosis using spectral darkfield microscopy and opticalspectroscopy; Advisor: Professor Nimmi Ramanujam• Improved image processing algorithm to classify stages of angiogenesis and cancer pathology bycomputational analysis of vessel density/tortuosity using segmentation techniques and oxygen saturationusing ratiometric spectroscopy• Used CAD software to design and 3D-print specialized scaffolds for imaging and tissue positioning• Optimized darkfield imaging process and used blood vessel phantoms to validate a ratiometric method,resulting in efficient imaging of >40 animals within 2 months

• Identified and quantified Pseudomonas aeruginosa biofilm contamination on medical devices using hyperspectral imaging (HSI) and Mapped Average Principle Component Analysis of HSI data• Developed biofilms on various medical device materials, obtained hyperspectral imaging data, processed images, and analyzed data by determining spectral fingerprints• Designed algorithm to perform principal component analysis and produce score-mapped images

• Identified four unknown samples of single-chain fragment-variable (scFv) antibodies based on specific binding to various allergens using direct ELISA, after induction in E.coli and purification• Executed RT-qPCR of >30 interferon stimulated genes, pro-inflammatory and Th2 cytokines to compare innate immune response of two pulmonary epithelial cell lines (A549, alveolar and BEAS-2B, bronchial) in response to infection by Respiratory Syncytial Virus

• Performed QC audits on clinical trial data for multiple vaccine studies including influenza, HPV, and malaria, to ensure data consistency and organization• Reviewed clinical trial protocols and liaised analysis reporting between biostatisticians and project managers• Assisted with data management, cleaning, and consistency across clinical trial databases using SAS