Hello, world!
I’m an exposure assessment professional with a breadth of experience in data analytics, machine learning and software development. I combine these versatile interests to solve complex problems related to exposures in the environment and build interactive tools for my clients and the public to visualize risks pertinent to them.
Lately
At the moment, I am working on two key litigation projects – an environmental forensics project to identify sources of PFOA and PFOS drinking water contamination around the US; and making sense of EPA’s IRIS assessment for ethylene oxide and what it actually means in terms of cancer risk to residents near emitting facilities. (See more here)
I have also been developing dashboards in R Shiny so that my clients can visualize results on maps, charts, or tables. I am also trying my hand at learning D3.js.
Lastly, I continue to spend a lot of time climbing, pushing the limits of my body and mind, and enjoying the mountains for long peak-bagging or backpacking days.
Data Science / Software Projects
smartlyt
smartlyt uses an unsupervised clustering algorithm to group documents from PubMed search results into discrete clusters to focus literature deep dives.
Read moreEthylene Oxide Explorer
Ethylene oxide explorer is a tool to visualize emissions reported by facilities to the Toxics Release Inventory (TRI) and the corresponding cancer risk estimates calculated by the EPA as part of NATA and AirToxScreen.
Read more
Ankur Singhal
Exposure Scientist, Data Scientist, and Software Developer @EH&E
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