_index.org

EB2022 Index

Last edited: August 8, 2025

Presented

Talks

PersonSocietyKeywordsEmail
Chhavi Chauhuan, PhD, ELSASIPAI Ethics, Pathology[email protected]
J. Elliott Robinson, PhD, MDASBMBNF1, Dopamine, ADHD[email protected]
Jason Yi, PhDASBMBUBE3A, Recklinghaus, Dup15qdomain
Erica Korb, PhDASBMBAutism, Chromatin[email protected]
Catherine WangAAAstudent approach to learning???
Megan Fagalde, PhD CandidateAAAanatomy learning[email protected]
Michelle A. SveistrupAAAhaptic abilities, HAT[email protected]
AAAanatomy learning
Alam BoydAAApartner vs. individual work
Magnus ???AAA
Orna IsslerASBMBIncRNA, LINC00473, FEDORA[email protected]
Kaushik RagunathanASBMBwhimsical adaptations[email protected]
Tracy l. BaleASBMBi think like P80 scary[email protected]
Gregory MortonAPSthermoregulation, glucose[email protected]
Peter TurnbaughASBMBFluoropyrimidine, PreTA, DPYD[email protected]
Ralph DeBernandisASBMBmetabolic alterations, LIPT1

People Meeters

PersonPlaceEmailJobFollowup
Jay PieczynskiRollins[email protected]Assist. Prof.P80, College Apps
Sebastian HernandezRollins[email protected]Undergrad""
Bryson ArnettU of KentuckyUndegrad
Jennifer PousontPingry
Eric P. ChangPace U[email protected]Assist. ProfP80

ECON320 Architecture

Last edited: August 8, 2025

Slightly nontraditional Ted class, which is that it is in complete modular architecture: no large group lectures, work is done in 2-3 week sprints.

First two days, we will be doing intro together. There are 12 modules, and you do 6. There will be core modules and branches.

There are 3 symposiums which the groups share out. This class is very hard; we are using a graduate school textbook. We will be sidestepping some depth: main idea is to show the big area.

economy of credit

Last edited: August 8, 2025

The economy of credit is an effect where credit is being traded liberally, and people are buying stocks on large margins and unable to pay back.

edit distance with DP

Last edited: August 8, 2025

Goal: search for a path (sequence of edits) from start to final string, whereby:

  • initial state is the word we are transforming
  • operators: insert, delete, substitute
  • goal state: the word we end up at
  • path cost: cost of the path we are trying to minimize

Sequence of all edits is huge! so DP.


For two strings, let’s define:

  • \(X\) of length \(n\)
  • \(Y\) of length \(m\)

we define some \(D(i,j)\) as the edit distance between substring \(X[1:i]\) and \(Y[1:j]\).

effability

Last edited: August 8, 2025