Team

Born and raised in Taiwan, Kuan-lin “Kuan” Huang is now an Assistant Professor of Genetics and Genomic Sciences and PI of the Computational Omics Lab at the Icahn School of Medicine at Mount Sinai. After being the only graduate to earn two Honors (Molecular Biology & Studio Art) at Wesleyan University, he completed his Ph.D. in Statistical Genomics and Postdoc in Multi-omic Software Development at Washington University in St. Louis. He has authored over 60 peer-reviewed publications including lead authorship in the top scientific journals, and is the author of the best-seller “Solve It Yourself.” Kuan was a co-founder/CEO of the startup DeepGene in grad school, and currently serves as the Co-Founder and Chief Unboxer of OpenBoxScience.Org. A good day of his life typically involves great people, hikes, books, dark chocolate, bubble tea, surfing, tennis; and a 20-minute nap.

CV      Web: KuanlinHuang.com   Mentorship Philosophy     Email:  kuan-lin.huang [at] mssm.edu    

Born and grew up in China, once a serious illness motivated me to enter Harbin Medical University, where I earned my B.S. of bioinformatics and Ph.D. of biological engineering. During Ph.D. stage, I used bioinformatics method to explore the molecular mechanisms controlling regulation of gene expression in human cancers, mainly including transcription factors, epigenetics, cancer genetics, biology network and computational system biology. Now I pursue the exploration of computational omics of cancer at Mount Sinai, wishing to promote the treatment of cancer. In my spare time, I like running and playing table tennis.

I graduated from Bengal Engineering and Science University, Shibpur in Computer Science, and finished my PhD in Computer Science in Rensselaer Polytechnic Institute. I have always been amazed at the different type of data and the various machine learning and automated reasoning methods that go with them. The various types of data I have worked on ranges from Computer Vision data to Natural Language Processing to power plant sensor data and finally now I work with genomics data in my current position. I work on precision medicine, researching with cancer datasets to identify the patients who respond well to immunotherapy using Machine learning on sparse data matrices in low data scenario.

Megan graduated from Binghamton University with both a B.S. in Cell and Molecular Biology and a B.S. in Nursing. Subsequently, she earned her M.S. in Bioinformatics from Northeastern University. Currently, Megan is a 4th year PhD Student in Dr. Huang’s lab at the Icahn School of Medicine at Mount Sinai. During her free time, Megan enjoys running, soccer, and traveling with friends.

My name is Dan Fulop. I am a first-year medical student at Mount Sinai and will be completing an MD/MSCR with a focus on translational oncology as a part of the PORTAL program.

I received my B.S. in Biology from Ithaca College in 2015 and my M.S. in Biostatistics from Northwestern University in 2019. In between, I worked for three years in the Nakamura lab at the University of Chicago, characterizing the T-cell receptor repertoire and immune microenvironment in various cancers. I then spent a year in the Chevrier lab at the same institution, developing a T-cell receptor sequencing protocol to characterize immune responses to viral infection in mice. I am currently a first-year medical student at the Icahn School of Medicine at Mount Sinai and I am interested in the field of cancer immunology.

I was born in India but grew up in a small town in Northern Canada. I finished my undergraduate degree at UC San Diego in 2021, where I majored in Human Biology and minored in Computer Science. I worked at the Bondi Granholm Lab at UC San Diego where my research focused on collecting pupillometry data that we hoped could serve as a biomarker for early-onset Alzheimers. The mix of both Biology and Computer Science in my undergraduate degree brought me to Mount Sinai where I am currently doing my Master’s in Biomedical Data Science. 

I graduated from Washington University in St. Louis in 2019 where I majored in Biomedical Engineering and Biochemistry. At WashU, I developed a novel super-resolution imaging method to study amyloid structures at nanometer resolution for extended time periods. Afterwards, I worked at the National Institute on Aging where I studied hematopoietic stem cells and aging. I am currently a first-year MD-PhD student at the Icahn School of Medicine at Mount Sinai and am interested in aging research and geriatrics. 

Varun is a first year medical student at Mount Sinai. He received his B.S.H in Computational Biology from Stanford University in 2021. At Stanford, he worked in the labs of Dr. Albert Wu and Hiro Nakauchi on the regeneration of eye tissue through stem-cell based strategies. Previous projects involved CRISPR-editing, organoid development, and single-cell bioinformatics. Varun enjoys reading Japanese literature, performing stand up comedy, and playing tennis.