Karen M. Bliss

Karen M. Bliss is an American applied mathematician currently at Virginia Military Institute in Lexington, Virginia who specializes in biomedical applications and materials science. She has co-authored many modeling handbooks, most notably, Math Modeling: Getting Started and Getting Solutions, for Society for Industrial and Applied Mathematics (SIAM) in 2014 which is used by teachers and students learning the basics along with those participating in the Mathematical Contest in Modeling [1][2].

Education and career

For her undergraduate degree, Bliss attended the University of Missouri – Rolla (Missouri University of Science and Technology) from 1994 to 1998 and graduated Summa Cum Laude with a Bachelor of Science in Applied Mathematics. She attended North Carolina State University for her graduate studies, earning her Master of Science in Applied Mathematics in May 2000. From 2000 to 2004, Bliss served in the US Navy as a mathematics instructor for machinery operators. Under supervision of Harvey Banks and Hien Tran, she earned her PhD in Applied Mathematics in 2011 from North Carolina State University, with her dissertation on modeling red blood cells in kidney disease patients [3].

After postdoctoral research at the National Academy of Sciences as a Davies Fellow and teaching at the United States Military Academy, Bliss became an associate professor of Mathematics at Quinnipiac University. There, she was a mentor for the mathematics club and a mentor for undergraduate research [4]. As of 2018, Bliss is an associate professor in the department of Applied Mathematics and VCUR Programs Coordinator at Virginia Military Institute [5].

Selected publications

With Kathleen Fowler and Benjamin J. Galluzzo, Bliss published Math Modeling: Getting Started and Getting Solutions for the MathWorks Math Modeling Challenge [1]. In 2018, Bliss published a more advanced handbook titled, Math Modeling: Computing and Communicating with Benjamin J. Galluzzo, Kathleen R. Kavanagh, and Rachel Levy [6].

Her research papers include:

gollark: No, I have that stuff done.
gollark: I want a *different* set of "OPERATIONS ON RELEVANT NODE THING" and no HTML generation at the end, and it would be bees to just copy-paste the function here.
gollark: As of now, my code does```nimproc renderToHtml*(input: string): string = let wlRegex = re"\[\[([^:\]]+):?([^\]]+)?\]\]" let opt = CMARK_OPT_UNSAFE or CMARK_OPT_FOOTNOTES or CMARK_OPT_STRIKETHROUGH_DOUBLE_TILDE or CMARK_OPT_TABLE_PREFER_STYLE_ATTRIBUTES # create parser instance let str: cstring = input len: csize_t = len(input).csize_t parser: ParserPtr = cmark_parser_new(opt.cint) if parser == nil: raise newException(CatchableError, "failed to initialize parser") defer: cmark_parser_free(parser) [further initialization stuff] # parse document, get AST cmark_parser_feed(parser, str, len) let doc = cmark_parser_finish(parser) defer: cmark_node_free(doc) if doc == nil: raise newException(CatchableError, "parsing failed - should not occur") # iterate over AST using built-in cmark-gfm AST iteration thing for (evType, node) in cmarkTree(doc): # if it is a text node [OPERATIONS ON RELEVANT NODE THING] let html: cstring = cmark_render_html(doc, opt.cint, cmark_parser_get_syntax_extensions(parser)) defer: free(html) result = $html```
gollark: cmark. I will explain.
gollark: Hmm. Gibson, you use nim, yes? How can I nicely™ abstract this C library?

References

  1. Math Modeling: Getting Started and Getting Solutions, K. M. Bliss, K. R. Fowler, and B. J. Galluzzo, SIAM, Philadelphia, 2014.
  2. "Karen M. Bliss". Karen M. Bliss. Retrieved 2020-04-10.
  3. Bliss, Karen (2011-05-03). "Modeling of Red Blood Cell Dynamics in Patients with Chronic Kidney Disease". Cite journal requires |journal= (help)
  4. "Teaching Experience". Karen M. Bliss. Retrieved 2020-04-10.
  5. "Faculty and Staff - Applied Mathematics - Virginia Military Institute". www.vmi.edu. Retrieved 2020-04-24.
  6. Math Modeling: Computing and Communicating, K. M. Bliss, K. F. Kavanagh, and B. J. Galluzzo, and R. Levy SIAM, Philadelphia, 2018.
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