Mahir Patel

665 Commonwealth Ave, Boston, MA 02215

First-Year Computer Vision Ph.D. student supervised by Prof. Margrit Betke, Prof. Bryan Plummer, and Prof. Michael Hasselmo. I am interested in interpreting the environment from different visual modalities, especially for applications to clinical and behavioral neuroscience research.

Research Projects

A deep-learned pose optimizer framework that uses spatio-temporal architecture to learn postural information.



  • Dataset

A multi-view multi-modal Rodent dataset

An automated tool to analyze One-Hybrid yeast assays to accelerate research.


A visualization software counter-part for the D.I.S.H.A package.


Journals, Conference, and Thesis

Paper: Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factors - Nature Communications
Berenson, Lane, Soto-Ugaldi, Patel, Ciausu, Li, Chen, Shah, Santoso, Liu, Spirohn, Hao, Hill, Vidal, Fuxman Bass
October 2023

Abstract & Posters

November 2023
May 2022

Professional Experience

Research Technician

Psychology and Brain science @ BU

  • Setting up multi-view tracking cameras and hardware synchronization.
  • Writing recording software and neural data analysis/visualizing tools.
  • Designing new architecture for end-to-end 3D pose estimation and optimization.

June 2022 - June 2023

Academic Experience

Graduate Research Assistant

Neuro-Autonomous Robotics @ BU

  • Implemented 3D reconstruction from multi-view thermal cameras and designed configurable software to generate analytical data such as displacement vectors and velocity vectors.
  • Customized the 3D calibration cube with Peltier devices for thermal cameras.
  • Annotated 100s of frames for each view and trained deep neural network to generate landmarks on rodents.
  • Ported old proprietary FLIR SFMOV video editing code to Linux Systems.

September 2020 - May 2022

Research Affiliate

Strategic Analytics Lab, Harvard Medical School

  • Scraped more than 15,000 research articles from PubMed, from different reputed journals.
  • Created a software to help annotate abstracts and build the dataset.
  • Fine tuned PubMedBERT by Microsoft to classify research articles.

June 2021 - December 2021

Research Engineer Volunteer

Disha Y1H Analyzer @ Fuxman Bass Lab

  • Designed a computer vision pipeline to localize and segment quad-colonies from Yeast one-hybrid assay images, assigning scores to represent the interactions of different permutation of Transcription Factors, to accelerate the research in fields like Cancer research and immune responses.

February 2021 - Present


Boston University

Ph.D.- Computer Vision
September 2023 -

Boston University

Master of Science
Artificial Intelligence

Current GPA: 3.82/4.0

September 2020 - May 2022

Gujarat Technological University

Bachelor of Engineering
Computer Engineering

CGPA: 8.94/10.0

June 2014 - May 2018


Programming Languages
Tools & Libraries
  • CUDA
  • OpenCV
  • Numpy
  • TensorFlow
  • JavaFX and Swing
  • QT
  • GTK
  • SDL2
  • SQL