Demo Data from EDBT 2026 / reviewers in the wild / expert
Helen Huang
dblp:263/2590
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics › fine-mapping
causal variant identification |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology › statistical genetics
fine-mapping |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology
genomics |
0.4 | 1 | 2020 | Identifying Causal Variants by Fine Mapping Across Multiple Studies · RECOMB 2020 |
Bioinformatics and computational biology › genomics
genome-wide association study |
0.1 | 1 | 2020 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Four guiding principles for effective trainee-led STEM community engagement through high school outreachabstractTo 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 |
RECOMB | 3 |