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Helen Huang

dblp:263/2590 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-6308-346XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › fine-mapping
causal variant identification
0.412020
Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020
Bioinformatics and computational biology › statistical genetics
fine-mapping
0.412020
Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020
Bioinformatics and computational biology
genomics
0.412020
Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020
Bioinformatics and computational biology › genomics
genome-wide association study
0.112020
Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020

Methods — techniques the papers use, named apart from their topics

meta-analysis · 0.4bayesian fine mapping · 0.4
YearPublicationVenuePosition
2023 Four guiding principles for effective trainee-led STEM community engagement through high school outreach
abstract
To address ongoing academic achievement gap, there is a need for more school-university partnerships promoting early access to STEM education. During summer 2020, members of our institute initiated QBio-EDGE (Quantitative Biology-Empowering Diversity and Growth in Education), an outreach program for high schools in Los Angeles. In the hope of contributing to increasing diversity in academia, QBio-EDGE aims to make STEM education more accessible for students from historically excluded communities by exposing them to scientific research and diverse scientist role models. This program is led by early career researchers (ECRs), i.e., undergraduate, graduate, and postdoctoral researchers. In our first year, the outreach activities took place during virtual learning, presenting challenges and opportunities within the program development. Here, we provide a practical guide outlining our outreach efforts, key factors we considered in the program development, and hurdles we overcame. Specifically, we describe how we assembled our diverse team, how we established trusting partnerships with participating schools, and how we designed engaging student-centered, problem-based classroom modules on quantitative biology and computational methods applications to understand living systems. We also discuss the importance of increased institutional support. We hope that this may inspire researchers at all career stages to engage with local schools by participating in science outreach, specifically in quantitative and computational fields. We challenge institutions to actively strengthen these efforts.
Stefanie Luecke, Allison Schiffman, Apeksha Singh, Helen Huang, Barbara Shannon, Catera L. Wilder
PLoS Comput. Biol.4
2020 Identifying Causal Variants by Fine Mapping Across Multiple Studies
Nathan Lapierre, Kodi Taraszka, Helen Huang, Rosemary He, Farhad Hormozdiari, Eleazar Eskin
RECOMB3