Mike Northeim

Mike’s professional experience includes:

• Acted as a settlement and claims expert on a $2.3 billion Foreign Exchange Antitrust settlement. Produced single database of all foreign-exchange traders across 16 banks and 13 years. Created novel clustering algorithm in R to identify unique claimants across over a dozen data sources. Built linear and logistic regression models to impute missing data where necessary. Led team of up to five other data scientists to process and value over 100,000 highly complex claims. Provided expert consulting services at all key stages including class certification, damage calculations, notice, and distributions to claimants.
• Performed independent audit of the Distribution Protocol for the Canadian FX Price-Fixing Class Action.
• Assisted in the development and execution of allocation model for the U.S. Victims of State Sponsored Terrorism Fund.
• Acted as economic expert on antidumping disputes between the U.S. and several Korean steel manufacturers.  Developed linear and time series models to analyze counterfactual scenarios, authored and published findings to the U.S. Department of Commerce for review across a number of expert reports. Cases include:
  • Administrative Review of the Antidumping Order on Oil Country Tubular Goods from Korea (A-580-870)
  • Administrative Review of the Antidumping Order on Heavy Walled Rectangular Goods from Korea (A-580-880)
  • Administrative Review of the Antidumping Order on Welded Line Pipe from Korea (A-580-876)
  • Provided expert opinion regarding the uses and limitations of the Social Security’s Death Master File.
• Acted as economic and data expert for numerous asbestos trusts and pre-trust bankruptcy negotiations. Created liability forecasts using epidemiological and economic data to predict future financial exposure of a firm based on specific product and disease groups. Utilized models to manage future cash flows of trusts as well as to make key decisions in bankruptcy proceedings. Led teams of over 50 analysts through discovery and estimation analysis. Select asbestos engagements include:
  • In re Bestwall LLC, No. 17-31795 (LTB) (Bankr. W.D.N.C. 2017)
  • In re DBMP LLC, No. 20-30080 (JCW) (Bankr. W.D.N.C. 2020)
  • In re Aldrich Pump LLC, No. 20-30608 (JCW) (Bankr. W.D.N.C. 2020)
  • In re Murray Boiler LLC, No. 20-30609 (JCW) (Bankr. W.D.N.C. 2020)
  • NGC Bodily Injury Trust (est. 2003)
  • Western Asbestos Settlement Trust (est. 2004)
  • JT Thorpe Settlement Trust, California (est. 2006)
  • Thorpe Insulation Company Asbestos Settlement Trust (est. 2007)
  • The Burns and Roe Personal Injury Settlement Trust (est. 2009)
• Served as an advisor on litigation related to Zantac and exposure of the chemical ranitidine. Generated database of all claims filed and analyzed distribution of claim inventory, including disease types and claimant demographics.
• Supported claims expert during bankruptcy proceedings of a large talc producer, acting as principal economic and data advisor. Created forecast of future ovarian cancer and mesothelioma claims using epidemiological and economic data.
• Created damages models for several state and local governments alleging costs incurred from widespread opioid addiction. Gathered data from public and private sources including the DEA, CDC, NSDUH, and local budgets to test assumptions of plaintiffs and defendants. Produced visualizations in R and Tableau to communicate results to client.
• Forecasted future claims related to sexual abuse claims in the Boy Scouts of America bankruptcy.
• Created damages model related to lead-paint based harm in single family homes and condominiums that estimated the number of affected homes and the costs of abatement.
•  Acted as a principal data analyst for a dispute involving tobacco sales on Native American Reservations. Developed several complex economic models to estimate sales from a small sample of the area.
• Served as an advisor in due diligence discussions pertaining to PFAS exposure and potential future liability.
• Provided expert opinion on a liability forecast created to value future claims from Roundup exposure.