Vaishnavi Subramanian
Scholar

Vaishnavi Subramanian

Google Scholar ID: TOAT8jEAAAAJ
Post-doctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Graph neural networksDigital pathologyMachine learning for medicineMedical data analysis
Citations & Impact
All-time
Citations
228
 
H-index
8
 
i10-index
7
 
Publications
16
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Publications can be found via the Google Scholar link provided.
Research Experience
  • Postdoctoral researcher in the LTS4 group and the Center of Imaging at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne since August 2022, working with Prof Pascal Frossard and Dr. Dorina Thanou on signal processing and machine learning applications in digital pathology. Previously, part of the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign.
Education
  • Ph.D.: Summer 2022, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, advised by Prof Minh Do and Dr. Tanveer Syeda-Mahmood (IBM Research, Almaden); B.S.: 2016, Electrical Engineering, IIT Bombay.
Background
  • Research interests: Applying signal processing and machine learning tools to improve our understanding of complex diseases like cancer and provide better healthcare to all.
Miscellany
  • Get in touch: vaishnavi.subramanian[at]epfl.ch; Links: Google scholar, LinkedIn, GitHub