Bioengineering ยท Machine Learning ยท Systems Design
Bioengineering pre-med student at Pitt's Honors College with a passion for chemistry and engineering, working toward better treatments through science and medicine.
Get in touchAbout me
I'm Suhani, a bioengineering pre-med student at Pitt's Honors College. I'm really into chemistry and bioengineering, and I want to combine both with medicine to develop better treatments and improve the way we care for patients.
I've interned at Rutgers WINLAB, Columbia, Bloomberg, and NJIT, and I'm currently doing cancer research at the Zervantonakis Lab at UPMC Hillman Cancer Center.
Skills
Bioengineering
Languages
ML & AI
Hardware & Systems
Tools & Platforms
Research & Design
Projects
Pitt Engineering Design Challenges
We built a compression sleeve out of a beach ball and heat-sealed plastic to replicate clinical compression therapy without any electronics or expensive parts.
A Rube Goldberg machine that starts with a Newton's cradle and ends with a bowl of cereal and milk. I did the Arduino programming, sensor calibration, and motor control.
We scaled a stir fry recipe from 4 servings to 1,000 guests using Excel. I made the Gantt chart and production schedule pages.
We built a wooden chair that held 140 lbs. I used tongue and groove for the back legs and a half lap joint for the underside cross-support.
Built a hexagonal dish with a lid out of foam core.
Made 120 health brochures on mono, the cold, and the flu for Pitt students. Originally planned to put them in clinical settings but switched to the Honors College after talking to the Vaccination Hub.
Other Projects
A smart helmet that detects impacts and measures how close cars are from behind. It sends data over Bluetooth to an Android app that automatically calls for help if the force is too high.
Built neural networks for self-driving cars and two autonomous robot platforms at Rutgers WINLAB. Presented the work at 7 poster sessions at MIT and Rutgers.
An app that translates ASL into English letters in real time. We made it after talking to Deaf individuals about the communication barriers they deal with every day.
Built a neural network in Unity that tracks 33 body keypoints and overlays a skeleton in real time, designed for surgical training and medical visualization.
Built an AI app during my Bloomberg internship that reads from 460 financial documents and gives personalized advice to help women manage their money.
Experience
Culturing patient-derived organoids and embedding fibroblasts in collagen matrices to model the tumor microenvironment in breast cancer. Seeding microfluidic devices and performing imaging-based analysis of CAR-T cell infiltration. Optimizing protocols for collagen neutralization, immunofluorescence staining, and live-cell tracking.
Developed microbubble formulations with varying cholesterol, DSPC, and PEG 2K concentrations for traumatic brain injury treatment. Used ultrasound imaging to analyze bubble behavior independently and post-administration in rat models.
Contributed to the CONCERN clinical decision support app using neural networks for disease recognition. Analyzed survey data from 150 nurses to evaluate usability and real-world performance of the clinical tool.
Built an AI application over a five-month internship to enhance women's financial independence. Designed a self-learning system trained on 460 documents to generate user-specific financial insights. Presented to Bloomberg's engineering team.
Developed neural networks for self-driving vehicles, engineered VR surgical training tools, and built server-client infrastructure for autonomous robot remote control. Presented 7 research posters at MIT and Rutgers conferences.
Contact
I'm always open to research collaborations, internship opportunities, and conversations about engineering and healthcare. Say hello.