Cornerstone Research

​July 2018 - present

 

​II use data to answer complex economic questions in high-profile litigation matters. I learn extensively about how to ask good questions with data and how to deliver courtroom-quality, bullet-proof analyses. Through the process, I developed strong competency in R, SQL and SAS.

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• Work in analyst teams (2 to 5 people) to vet and process data, apply analytical and statistical models, present and visualize analysis results, and conduct research

• Synthesize complex analytical findings and assist case managers in communicating such findings to external non-technical audiences

• Contribute to formulation of case strategy by identifying data availability and limitations, assessing applicability and feasibility of potential methodologies, and proposing efficient approaches to analyzing available data

 

Select project experiences:

Arbitration on the liquidation of $20B worth of cryptocurrency:

• Processed and analyzed large-scale, millisecond-level order book data and trade data to conduct various ad-hoc analyses and statistical models to evaluate impact of large transactions on cryptocurrency prices

• Created effective visualizations of complex trading scenarios to present important arguments to non-technical audience, including judges and attorneys

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 Pharmaceuticals class action litigation:

• Vetted, transformed and analyzed large datasets from government and healthcare providers to quantify multi-billion damages in public health crisis due to products deceptive marketing

• Ran various regression sensitivities that led to key rebuttal arguments to complex statistical models underlying damages claim

 

Firm-development contributions:

• Process improvement:  Revamped the analysis process of a proprietary annual publication by automating PDF scraping in Python and migrating complex analysis pipeline from Excel to R

• Recruiting:  Spreadhead recruiting efforts at new target school; interviewed analyst candidates

• Training:  Gave training sessions to new analysts on best practices and technical skills

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