Muhammad H. Khan
Elevator Pitch
I am a third-year Ph. D. student at Yale University in biomedical engineering with quite an eclectic variety of interests. My passions for computational modeling, physics, and quantitative approaches to the life sciences have made me explore the areas of biomedical imaging. Fittingly, my Ph. D. thesis is centered around the molecular imaging of cancer. More specifically, I am designing novel magnetic-resonance-based approaches to probing bioelectrical activity to aid in the diagnosis of brain cancer.
I’m also a music enthusiast and really good at memorizing song lyrics so you’ll most likely find me walking and singing something from the Top 40 / Billboard Hot 100 more often than not.
About Me
The Longer Version
I’m a bit of an eccentric individual whose favorite thing to do, above all, is learn. I’m pretty much the biggest STEM junkie you will possibly ever find, and by that I mean a junkie in all 4 of the fields encompassed by the acronym. I received both my Bachelors of Science (‘15) and Masters of Engineering (‘16) from Cornell University, the former in both chemical engineering and computer science, and the latter in biomedical engineering. My lovely time in Ithaca, NY spanned not only multiple disciplines, but also multiple summer internships at Goldman Sachs and multiple research labs, the most notable of which was my work with the Adie Lab in dynamic real-time GPU-accelerated optical coherence elastography.
I am presently pursuing my Ph. D.in biomedical engineering at Yale University, and in my third year. I am a member of the Hyder Lab where my project falls under the umbrella term “molecular imaging of cancer.” More accurately, I am using agents employed in other spectroscopic methods, such as Biosensor Imaging of Redundant Deviations in Shifts (BIRDS), to ascertain a mapping between neural physiology and the chemical shift of the nucleus sodium-23, and relating oncogenic changes in physiology to changes in chemical shift and vice versa.
I like to, however, have personal interests that span a variety of fields. If I had it my way, I would be able to study all of my interests at the same time. In addition to the core concepts of my field, you’ll often find me reading up on the nitty gritty of quantum field theory in physics, the Curry-Howard isomorphism in formal language type theory, or anything new in the exciting field of stem cell engineering (to name a stark few). It’s especially exciting when I find something that combines two seemingly different topics; one of my favorites is Karp’s application of mathematical group theory to nucleotide sequences (here).
Those interested can also feel free to look at my official resume.
projects
Projects
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These are all projects I have undertaken at my leisure, and can all be found hosted on my GitHub. Notable ones include:
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Biomimetic Approach to Computer-Aided Diagnosis For Lung Cancer: Development of a deep learning-based eye-tracking algorithm to improve accuracy of classification in lung cancer imaging and radiology. Eye-tracking enhancements able to improve accuracy of classification by 3-5%.
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Curriculum ViTeX: This is a template engine I wrote for resumes/CVs written in LaTeX using XML.
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ABINIT Band Structure Plotting Tool: A convenient plotting tool for band structures of materials (i.e. k-space energy eigenvalues) using output data from the ABINIT computational quantum mechanics package. (A vestige from my summer in the Hasan Group at Princeton)
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Sniffy: A really simple command-line packet sniffer.