Ayeh Bandeh-Ahmadi Email & Phone Number

Los Angeles, Ca, Us

We build tools that make economic expertise friendly and actionable for people making everyday business and life decisions.

New York, Ny, Us

Serves as subject matter expert for government and private organizations building data science teams anddeveloping models of economic risk in financial, health care, pharmaceutical and policy contexts.

New York, Ny, Us

Led Transfix’s data organization through several leadership changes, establishing a unified data vision and roadmap for the first time in the company’s history, with broad cross-organizational buy-in from operational, engineering, product and executive teams. Mentored managers and multiple teams of data scientists, economists and analysts combining machine learning, econometrics, auction theory, business intelligence and data visualization to enable solutions to greenfield problems previously considered impossible at $3M+ savings over prior cost expectations. Navigated silos and business-tech divides to develop trusted macroeconomic outlooks for internal and external stakeholders, translating complex and often contrasting economic signals in uncertain markets, speaking at industry conferences, and giving live press interviews as well as invited talks by Fortune 100 customers.

Washington, Dc, Us

Provided decision-makers with timely analyses of structural shifts, event studies, and policy proposals to support management of $20 trillion U.S. Treasury market:-- Led Treasury’s first review of its auction format in over 20 years, demonstrating efficacy of uniform-price auctions.-- Led Treasury’s first comparative analysis of flash crash events, identifying cross-market drivers and resulting in refinements to data collections that enabled key Treasury market monitoring capabilities in time for COVID-19 episode and aftermath.-- Designed/built web-based dashboards and daily monitors of fast-changing Treasury market liquidity conditions, enabling timely senior policymaker response to COVID-19 outbreak.-- Developed use cases and specs for first-of-its-kind Amazon Web Services analytical environment for Treasury Domestic Finance to facilitate timely ingestion of multiple data feeds in support of agency mission.-- Developed methods to merge time-series data from multiple supervisory and commercial financial datasets including TRACE, CFTC, and BrokerTec to facilitate characterization of relationships between different asset classes, market segments, and trading venues at long-term (weeks, months) and high frequency (sub-second) timescales by Debt Management team.-- Investigated and addressed data quality issues, advocating for researchers across senior management and Inter-Agency Working Group, assessing impact via private sector outreach, implementing policy changes with Treasury legal and FINRA.-- Engaged primary dealers, central banks and other Treasury market participants ahead of $200B-$3T quarterly refundings to ensure debt management decisions reflecting market expectations and risks.-- Coordinated data sharing, research findings and publication approval across stakeholders at Federal Reserve system, CFTC, OFR, FINRA, and market participants.

Washington, Dc, Us

* Research lead for OFR’s natural language processing programs which are aimed at measuring risk in financial markets through computational measurement of insights from news sources and financial filings.* Developed economically-grounded tools for monitoring financial stability from mortgage records, high frequency trade and quote data, supervisory trade records, news sources, social media, and financial filings including: -- Best practices for measuring economic risk from financial counterparty networks, including aggregate system-wide metrics that respect firm anonymity. -- Automated tools for summarizing themes in large (>TB) unstructured textual corpora that correlate with financial instability or indicate financial innovations receiving growing attention -- Cross-governmental Financial Stability Board report on AI & Machine Learning in Financial Services* Led OFR’s organizational assessment of machine learning and artificial intelligence programs for White House Office of Science and Technology Policy.* Program Director overseeing OFR/NSF joint grant program for transformational research on financial stability including intra- and inter-organizational reviews.

At IDA and its Science & Technology Policy Institute (STPI), I contributed to research on manpower costing, financial security, & science & technology policy. I applied computer-based models, economics, & statistics to answer questions like: what is the probability of a terrorist event, how much does our military cost, can existing federal patent policy be improved, what is the payoff of foreign students to a nation, & how can we measure these quantities? I studied the impact of Bayh-Dole technology transfer legislation, federal student loans and fellowships, international education at U.S. military schools, & applications of science & technology to improve regional stability around the world. I also completed research on strengthening domestic & international financial markets, especially through remittance systems. I participated in meetings of the National Academies & President's Council of Advisors on Science and Technology & worked on developing ways to measure the benefits of federal funding for scientific research.

College Park, Md, Us

Applied economic, econometric, natural language processing and machine learning methods to develop and implement practical new approaches for studying editorial decision-making, predicting future citation impact of published and unpublished journal submissions, studying moral hazard among mortgage lenders, predicting behavior in auctions, measuring risk in initial public offerings, and identifying determinants of innovation and industry structure among publicly traded firms.

Pasadena, Ca, Us

Work From Anywhere, Us

For Kickstarter, I led development of fraud models & studies of customer behavior, including a classification model of project quality for auto-acceptance, econometric studies of backer behavior and project success, metrics and specifications for a model of backer and project risk, and a learning model of customer preference segmentation based on referral tags. In addition, I mentored and trained developers and community liaisons in programming, machine learning and econometric tools and best practices for sharing data and minimizing risk.

Santa Clara, Ca, Us

At Quid, I co-architected the Technology Genome, a set of algorithms for identifying and analyzing multi-sided industries and competitors among startups and technology firms as well as their investors, attracting $10M investment, featured in BusinessWeek, Harvard Business Review, and briefed to the Prime Minister of the UK, Office of Secretary of Defense and others.To be a bit more specific, I proposed, designed, and implemented machine learning, natural language processing and statistical tools for navigating Quid’s large data sets, synthesizing meaningful metrics from this data, and developing new products based on these technologies for understanding emerging technology landscapes. I also mentored, trained and grew a specialized team able to use and extend Quid’s analytic technologies for successfully pitching and meeting the needs of Fortune 500 multinationals, media and government clients as well as investors.

At GMU, I helped design agent-based models of society for providing insights into social, financial, and technological dynamics.

Alexandria, Virginia, Us

See description of Adjunct Research Staff at IDA, above.

• Studied developments in regulations facing water agencies, applying personal experience in fisheries research, knowledge of water resources agencies, and economics background • Researched and evaluated GIS engines and finite element software for modeling and visualizing future environmental impacts of pumping and other water use. • Developed and expanded proposals for new water resources projects.• Designed, built, and implemented company communications network.• Developed corporate identity including company logo, collateral materials, company brochures.

Us

• Developed analytical tools, models and software for private consulting firm with expertise in shipping industry and trade.• Used SIC-level data to study effects of changes in international trade.• Developed familiarity with information/statistics methodology and govt. bureaus for numerous countries.• Began model for extending analysis of growth and change in air sector of shipping industry to sea sector, then acquired and oversaw collection, organization, and integration of applicable sources of data to start application of the model.• Initiated relationships with various municipal bureaus and commercial businesses of interest to MergeGlobal• Reorganized clients' databases in Microsoft SQL and Visual Basic.• Learned details of air and sea shipping industry: markets, scheduling, and specific trade geography

Livermore, Ca, Us

• Used Visual C++ in conjunction with Tecplot modeling software to create new combined equation of state model for electron pressure, energy, specific heat, and ionization state of local thermal equilibrium plasmas. • Implemented a conductivity model as well as this new equation of state into TRAC3, a 3D software package for modeling z-pinches in explosions of single wire arrays.• Chosen to present findings at both 1998 and 1999 American Physical Society Division of Plasma Physics National meetings.

Davis, California, Us

• Conducted independent research project on the delta smelt, which is listed as a "threatened species" of fish under both California and Federal Endangered Species Acts. • Designed and built experimental setup and data recording systems for monitoring real-time fish schooling behavior, temperature, and other relevant variables.• Proposed an original method for ameliorating the decline of the delta smelt population by planting trees in their natural habitat. • Used Surfplot and video analysis software to extract and summarize data. • Presented research at American Fisheries Society’s CALNEVA (California-Nevada) annual conference.

Davis, California, Us

Mapped out phylogeny of cuora genus of Batagurid turtles by independently carrying out DNA sequencing, extraction, electrophoresis, and PCR methods.

Organized and taught classes, graded tests, provided one-on-one tutoring to middle school and high school students as part of an intensive summer program in Algebra I, Algebra II, and Pre-Calculus/Analysis.

Davis, California, Us

Used DNA sequencing, extraction, electrophoresis, PCR, protein synthesis and liagation methods to help locate and characterize oil gene in cotton.

B.S., Physics, Economics

Doctor Of Philosophy (Phd), Economics

International Baccalaureate Diploma