Physicist in Medicine

Sandeepan Ganguly

Greetings! 🌟
Medical Physicist specializing in therapeutic radiation oncology, where I ensure highest quality of treatment and create cutting-edge AI tools
I build automated radiation therapy solutions, standardized processes, and bring a sense of urgency to the team
Ready to elevate healthcare together?

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About me

Hello! I'm a passionate physicist dedicated to making a positive impact in the field of radiation oncology.

Not only do I work hands-on as a medical physicist, ensuring the highest quality in patient care, but I also build implmentations of several AI models. My focus revolves around developing user-friendly and automatic radiation therapy solutions, aiming to Standardized Protocols and Increase Quality in Radiation Therapy.

If you're curious to dive deeper into my work, you can follow me:

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Skills

Explore the expertise crucial for advancing medical physics

Radiation Therapy

Proficient in delivering precise radiation treatments for cancer patients using advanced technologies.

Dosimetry

Skilled at calculating and measuring radiation doses to ensure safe and effective treatment.

Medical Imaging

Experienced in utilizing various imaging modalities such as MRI, CT, and PET to diagnose and monitor diseases.

Radiation Safety

Knowledgeable in implementing and maintaining safety protocols to protect patients and staff from radiation hazards.

Quality Assurance

Diligent in performing quality assurance checks to guarantee the accuracy and reliability of medical equipment and procedures.

Treatment Planning Software

Proficient in using specialized software for treatment planning and optimization in radiation therapy.

Radiobiology

Adept in understanding the biological effects of radiation and its implications for treatment outcomes.

Research Methodology

Skilled in conducting scientific research and analyzing data to contribute to the advancement of medical physics.

Interdisciplinary Collaboration

Effective at collaborating with oncologists, radiologists, and other healthcare professionals to develop comprehensive treatment plans.

Work experience

Resident Medical Physicist
Montefiore Einstein Medical Center, New York, NY
July 2024 - June 2026

Clinical Residency Training

Medical Physics Assistant
Northwell Health, New York, NY
Jun 2023 - May 2024

1. Conducted Monthly & Annual QA of Varian Truebeam STx from

- Performed 15 Monthly and 2 Annual QA sessions as per TG-198 & TG-51.
- Familiar with TG-51 Output Calibration, TG-142 Linac QA Calibration.
- Familiarity with AlignRT, TotalQA, PTW chambers, MP1 Water Tanks, PTW Tandem, Starcheck Maxii, Catphan, PTW Mephysto, and ImageOwl.

2. Importing, Contouring & Patient-Specific QA

- Measured patient-specific IMRT QA with PTW Octavius 4D 1500 system and VeriSoft for SBRT/SRS, conventional VMAT & IMRT on TrueBeam.
- Participated in importing, contouring, and 4D fusions for treatment.
- Created verification plans with Eclipse, Velocity, ARIA.

3. GammaKnife SRS & Small Field Dosimetry

- Participated in Daily, Monthly & Annual Elekta Gamma-Knife Icon QA under Emel Calugaru including CBCT calibration, film measurements, and small field dosimetry using TRS 483 & TG-155 guidelines.
- Responsible for SRS data in RedCap GammaKnife, observed SRS physics checks, weekly chart checks, and planning of functional and metastatic disease sites with GammaPlan.

4. HDR

- Observed HDR Planning and Delivery with Varian GammaMedplus iX afterloaders and BrachyVision software, participated in daily QA and prostate planning.

5. Planning & Treatment Directive Database

- Made 60 RapidArc Prostate VMAT plans as part of a research project and presented in AAPM & ASTRO.
- Introduced to 3D CRT and SRS planning in Eclipse as well as GammaPlan.
- Responsible for maintaining and updating Treatment Directive Database and updates as per Institutional Directive Committee for all disease sites.

Administration Assistant - Radiation Medicine
Northwell Holdings, New York, NY
Jul 2023 - October 2023

1. Frontend

Full Stack Lead Developer to develop an Admin Panel and User Panel to store the Directive Templates and order Radiation Oncology Prescriptions for physicians to physicists and planners.
Built GUI using React, Next.js, Tailwind CSS & ShadCN to have a centralized uniform interface for easy access and ordering prescriptions across institutions.
Standardized structure naming conventions, Special Physics Consults, Dose Constraints, Daily kV, Image Fusion series with the Institutional Directive Committee.

2. Backend

Designed User Panel with Figma, deployed a PostgreSQL relational Database to hold the directive and prescription data and user-specific elevated access.
Wrote Node.js and Python APIs for ARIA Oncology Information Service and ARIA Access to integrate with Varian DataWarehouse to upload the finalized directive for each patient, built API testing guides with Postman and CI/CD pipeline from GitHub.
Setup LAN server, executed data import/export interfaces for ARIA & Mosaiq EMR/OIS systems, optimizing data flow and integration.

Graduate Assistant - IT & AV
Hofstra University, Hempstead, NY
Aug 2022 - Aug 2023

- Managed Audio-Video requirements across Hofstra University event spaces working with Event Management Office and IT Office.
- Provided training to new tech hires in IT and AV in the latest sound and display processing technology.

Founder, Director
Auditoria Classes, Kolkata, India
Mar 2020 - Oct 2021

- Developed a fully integrated Learning Management System platform enabling Kolkata’s top institutes to deliver live classes to a broader audience.
- Enabled over 5000 students to study and conduct physics and electronics labs virtually online during the pandemic using a novel virtual lab technology.
- Created interactive courses for competitive exams like IIT-JAM, JEST, NET, and GATE.

Healthcare needs AI, because it needs the human touch

Project 1:
PINN Linear Boltzmann Transport Equation

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Project Title:

PINN Linear Boltzmann Transport Equation for Fast Dose Calculation in Radiation Therapy (2023)

Tech Stack:

Python, C, C#, Matlab, Geant4, JupyterNotebook

Description:

Building a White Box Neural Network Model integrating LBTE as a loss function following Explainable AI (XAI) principles. This improves planning accuracy for Head and Neck and Lung Cancer, enabling real-time inference for adaptive therapy.

Project 2:
Integrated Dashboard for Radiation Oncologists

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Project Title:

Integrated Dashboard for Radiation Oncologists (2023)

Tech Stack:

Natural Language Processing, JavaScript, PostgreSQL, Supabase, Node.js API, React

Description:

Created an Integrated Dashboard utilizing a Text2SQL model to convert natural language to SQL queries, extracting patient information from clinical production Varian databases.

Project 3:
MIRADA Lu-177 Dosimetric Evaluation

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Project Title:

MIRADA Lu-177 Dosimetric Evaluation (2022)

Description:

Conducted a vendor project testing AI Planning Software for new RadioNuclides.

Project 4:
Chest X-Ray Medical Diagnosis with Deep Learning

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Project Title:

Chest X-Ray Medical Diagnosis with Deep Learning (2021)

Description:

Trained a DenseNet with Chest-XRay8 Dataset on 14 labels of pathological conditions. Write-up & Code.

Project 5:
Brain MRI Segmentation BraTS Challenge

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Project Title:

Brain MRI Segmentation BraTS Challenge (2020)

Description:

Developed a 3D UNet to segment brain lesions using the BraTS Open dataset.

Client testimonials

Discover what colleagues and clients have to say about their experiences working with me.

" He demonstrated exceptional expertise in implementing advanced radiation therapy solutions, greatly enhancing our treatment protocols. His attention to detail and ability to translate complex concepts into practical applications exceeded our expectations. "

Dr. Rebecca Johnson

Oncologist

" His contributions to our research endeavors have been invaluable. His deep understanding of medical physics and dedication to pushing the boundaries of innovation have significantly advanced our projects. "

Dr. David Rodriguez

Research Scientist

" Working alongside him has been a rewarding experience. His commitment to patient care and proficiency in utilizing cutting-edge technologies make him an indispensable member of our medical team. "

Dr. Sarah Lee

Radiation Oncologist

Let's make radiation oncology better together

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Explore my insightful articles on my blog

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Dive into a realm of radiation oncology, where you'll find invaluable insights, practical tips, and captivating narratives that elevate and enrich your clinical journey.

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Sandeepan Ganguly

About me