Samuel S. Kim

Samuel S. Kim, PhD

(he/him/his)
Patent Agent | Post-Grant Proceedings
617.646.8578 samuel.kim@wolfgreenfield.com LinkedIn Profile

Education

  • BEE, Electrical Engineering, Auburn University, summa cum laude 
  • PhD, Electrical Engineering and Computer Science, Massachusetts Institute of Technology 
  • JD, Columbia Law School, 2025 Candidate 

Key Technologies

  • Bioinformatics 
  • Medical Devices 
  • Artificial Intelligence 
  • Digital Health 
  • Integrated Circuits 

Practice Groups

Languages

  • Korean

Admitted to Practice

  • US Patent and Trademark Office 

Location

  • Boston

Overview

Sam Kim assists the firm in post-grant proceedings before the Patent Trial and Appeal Board (PTAB) and patent prosecution related to bioinformatics, medical devices, and computer hardware and software. 

Prior to joining Wolf Greenfield, Sam worked as a patent agent at an intellectual property law firm and served as a summer associate for several Am Law 100 firms. He also previously worked as a research intern at the New York Genome Center. 

Sam holds a PhD in electrical engineering and computer science from the Massachusetts Institute of Technology, where his thesis work studied computational methods to dissect the genetic basis of human disease.  


Activities

  • MIT Alumni Association 
  • Foundation for Advancement of Diversity in IP Law 

Recognition

  • Giles S. Rich Memorial Scholarship, Federal Circuit Bar Association 
  • George Hutchinson Writing Award, Federal Circuit Bar Association 
  • Mark T. Banner Scholarship, Richard Linn American Inn of Court 
  • Miriam Maccoby Netter Scholarship, New York State Bar Association 
  • Don H. Liu Scholar 

Publications

  • Rohil Verma, Samuel Kim, David Walter, Syntactical analysis of the weaknesses of sentiment analyzers, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 
  • Bozhi Tian, … , Samuel Kim et al., Roadmap on semiconductor–cell biointerfaces, Physical Biology (2018). 
  • Samuel Kim et al., Genes with high network connectivity are enriched for disease heritability, The American Journal of Human Genetics (2019). 
  • Kushal Dey, Bryce Van de Geijn, Samuel Kim et al., Evaluating the informativeness of deep learning annotations for human complex diseases, Nature Communications (2020). 
  • Samuel Kim et al., Improving the informativeness of Mendelian disease-derived pathogenicity scores for common disease, Nature Communications (2020). 
  • Huwenbo Shi, … , Samuel Kim et al., Population-specific causal disease effect sizes in functionally important regions impacted by selection, Nature Communications (2021). 
  • Carla Márquez-Luna, … , Samuel Kim et al., Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets, Nature Communications (2021). 
  • Katherine Siewert-Rocks, Samuel Kim et al., Leveraging gene co-regulation to identify gene sets enriched for disease heritability, The American Journal of Human Genetics (2022). 
  • Kushal Dey, …, Samuel Kim et al, SNP-to-gene linking strategies reveal contributions of enhancerrelated and candidate master-regulator genes to autoimmune disease, Cell Genomics (2022). 
  • Samuel Kim et al., Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types, Nature Communications (2024).