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Targets Saved Reports OutreachUniversity of Pennsylvania · Philadelphia, PA · Biomedical Engineering
The PET Imaging Innovation Lab
Suleman Surti
Fit Score
72
Good Match
Lab Selectivity
72
Competitive Lab
Research Focus
Dr. Suleman Surti's lab at the University of Pennsylvania focuses on improving PET (Positron Emission Tomography) imaging techniques for enhanced cancer diagnosis and treatment. They develop innovative algorithms to refine the accuracy of PET images, particularly in challenging conditions like low radiation counts or non-standard isotopes.
Research Aims
Develop advanced algorithms for scatter estimation in PET imaging.
Evaluate a novel breast PET scanner for improved cancer diagnostics.
Integrate molecular and anatomical imaging to guide cancer treatment decisions.
Skills the Lab Values
Links
Top Gaps
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Draft EmailProfessor Priorities
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We interviewed faculty at Harvard, Tufts, Boston University, and more and asked them to rate 13 factors by importance. Nabu's scoring weights are derived directly from those ratings.
Ratings out of 10 · Faculty rated each factor's influence on admission decisions
Fit Score
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- Research interest ranked #1 — faculty rated it above GPA, publications, and test scores
- Three dimensions — academic profile, experience depth, and research alignment
Fit Score
Position Summary
Strong candidate. Your control systems background and ROS experience align with the lab's core research. Priority gap: peer-reviewed publications.
Score breakdown
Skill Gaps
across 3 target labs
Top recommended action
Reproduce a diffusion-policy paper on a small manipulation task and post the code publicly
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Profile Signal
Composite of academic + experience scores
Recommended actions
3 of 7- 1
Submit an abstract to the IROS or ICRA student competition track
Motion Planning & Control Lab
- 2
Deploy a PID controller on physical hardware and document results publicly
Motion Planning & Control Lab
- 3
Read 3 recent lab papers and write a 200-word technical summary for each
Edge Intelligence Lab
New Message
Dear Prof. Sokolov,
I'm a senior in Mechanical Engineering at Boston University, and your recent work on real-time trajectory re-planning under contact uncertainty (ICRA '24) caught my attention — particularly the model-predictive approach for online replanning.
My senior thesis implements a similar MPC formulation for a 6-DOF manipulator in simulation. I also have hands-on ROS2 experience from a summer internship at [Company], where I worked on motion primitive libraries for warehouse automation.
I'd love to learn more about current openings in your lab for Fall 2025.
— Generated from your profile · grounded in real papers
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