The Ipso Facto Team
Dr. William Segal, CFA
William Segal is founder and Managing Director at Ipso Facto Solutions, offering financial model development, risk management, and audit services.
With more than 30 years of industry, academic, and regulatory experience at firms including Fannie Mae and Capital One, as well as federal financial regulatory agencies, he has developed and validated a variety of models including machine learning, commercial and retail credit risk, fixed income market risk, counterparty risk, and financial crime risk.
His principal value-add is in the areas of team leadership, project management, senior management communication, and regulatory strategy. Dr. Segal holds a BA from Harvard and a PhD from Berkeley.
Erica Ryan
Erica Ryan is a versatile econometrician with industry and regulatory experience in cash flow forecasting, behavioral modeling, and machine learning. Her coding skills include fluency in R, Python, SAS, and Stata.
Erica was Phi Beta Kappa at the University of Maryland, where she earned degrees in Economics and Studio Art. She is currently pursuing a PhD in Economics.
Dr. Subas Acharya
With years of collegiate and post-doctorate teaching experience, Dr. Subas Acharya is an expert in explaining complex quantitative concepts in an understandable way. He has broad experience in mathematical finance and a comprehensive list of published research. He is also proficient in Python, SQL, and advanced statistical and machine learning methods.
Dr. Acharya has received the 2024 Excellence in Teaching, Advising, and Mentoring Award and the Acheson J. Duncan Fund for the Advancement of Research in Statistics from Johns Hopkins University, as well as the Dissertation Research Award, STEM Doctoral Fellowship, and the Mei-Lein Fellowship from the University of Texas.
Dr. Acharya holds an MS in Data Science and a PhD in Applied Mathematics from the University of Texas Dallas, as well as a Postdoctoral fellowship from Johns Hopkins University.
Dr. Chisoo Kim
As Ipso Facto's data science economist, Dr. Chisoo Kim draws on more than a decade of experience to bring a unique blend of analytical, technical, and interpretive skills. She has successfully applied her innovative modeling skills in a wide range of business contexts including asset management, energy consumption, and public policy.
Dr. Kim holds Economics Masters and PhD degrees from Brown University; her Economics BA is from Seoul University. A versatile model developer, her current coding experience emphasizes Python and R in various environments including the Amazon Web Services environment; she has also implemented advanced statistical methods in Matlab and Stata. She recently achieved certification as a Data Science Fellow by the highly competitive Data Incubator in NYC.
Jin Kim
Jin Kim offers extensive experience with Anti-Money Laundering (AML) and Office of Foreign Asset Controls (OFAC) sanctions combined with the quantitative bandwidth to support a wide range of financial analytics assignments. He has consulted for a wide range of clients on compliance with AML and Sanctions-related regulations and best practices for various compliance program components such as transaction monitoring, Suspicious Activity Reports, customer and transaction screening, Know Your Customer, second line testing framework, risk assessments, and governance.
Mr. Kim has participated in reviews of Bank Secrecy Act (BSA)/AML and OFAC for major international financial institutions pursuant to supervisory mandates as well as in an audit capacity, evaluating the adequacy and effectiveness of internal controls with respect to BSA/AML and Sanctions risks.
Jin holds a BA in Economics from Vanderbilt University, and an MA in Economics / Finance from New York University, where he received the Excellence in Macroeconomics award. He is fluent in Korean and maintains close ties to the expatriate Korean banking community in the United States.
Nach Periyanan
Nach Periyanan is an experienced solutions architect who has led software development projects involving data warehouses, extract/transform/load functionality, business intelligence reporting, data governance, and automated data validation.
Mr. Periyanan has built over a dozen large data warehouses, coded using C, .NET, Python, Fortran, Assembly and numerous scripts, transformed data using Informatica, DataStage, Pervasive, SSIS, Ab Initio and plain old scripts. His data lake/database experience includes Hadoop, Hive, Spark, Oracle, SQL Server, Redbrick, Teradata, Netezza, DB2, PostGres and Informix. Rounding out his experience are Unix/Windows admin, database admin and network admin. He adds deep domain perspective and context based on 20 years of experience at companies including Fannie Mae, Freddie Mac, Department of Treasury, Verizon, and BlueCross.
Nach holds a Bachelors degree in Electrical Engineering from the University of Maryland, College Park with Honors.
